Table of Contents

• Training Full-Page Handwritten Text Recognition Models without Annotated Line BreaksChris Tensmeyer, Curtis Wigington. 1-8 [doi]
• Deep Network with Pixel-Level Rectification and Robust Training for Handwriting RecognitionShanyu Xiao, Liangrui Peng, Ruijie Yan, Shengjin Wang. 9-16 [doi]
• A Scalable Handwritten Text Recognition SystemR. Reeve Ingle, Yasuhisa Fujii, Thomas Deselaers, Jonathan Baccash, Ashok C. Popat. 17-24 [doi]
• A Fast and Accurate Fully Convolutional Network for End-to-End Handwritten Chinese Text Segmentation and RecognitionDezhi Peng, Lianwen Jin, Yaqiang Wu, Zhepeng Wang, Mingxiang Cai. 25-30 [doi]
• Dissecting Multi-line Handwriting for Multi-dimensional Connectionist ClassificationMartin Schall, Marc-Peter Schambach, Matthias O. Franz. 31-38 [doi]
• MTRNet: A Generic Scene Text EraserOsman Tursun, Rui Zeng, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes. 39-44 [doi]
• Document Binarization via Multi-resolutional Attention Model with DRD LossXujun Peng, Chao Wang, Huaigu Cao. 45-50 [doi]
• Graphical Object Detection in Document ImagesRanajit Saha, Ajoy Mondal, C. V. Jawahar. 51-58 [doi]
• An End-to-End Trainable Framework for Joint Optimization of Document Enhancement and RecognitionAnupama Ray, Manoj Sharma, Avinash Upadhyay, Megh Makwana, Santanu Chaudhury, Akkshita Trivedi, Ajay Pratap Singh, Anil K. Saini. 59-64 [doi]
• Learning 2D Morphological Network for Old Document Image BinarizationRanjan Mondal, Deepayan Chakraborty, Bhabatosh Chanda. 65-70 [doi]
• Multimodal Document Image ClassificationRajiv Jain, Curtis Wigington. 71-77 [doi]
• Decipherment of Historical Manuscript ImagesXusen Yin, Nada Aldarrab, Beáta Megyesi, Kevin Knight. 78-85 [doi]
• Training Convolutional Autoencoders with Metric LearningYosuke Onitsuka, Wataru Ohyama, Seiichi Uchida. 86-91 [doi]
• A Meaningful Information Extraction System for Interactive Analysis of DocumentsJulien Maitre, Michel Ménard, Guillaume Chiron, Alain Bouju, Nicolas Sidère. 92-99 [doi]
• Table-of-Contents Generation on Contemporary DocumentsNajah-Imane Bentabet, Rémi Juge, Sira Ferradans. 100-107 [doi]
• Making Two Vast Historical Manuscript Collections Searchable and Extracting Meaningful Textual Features Through Large-Scale Probabilistic IndexingAlejandro Héctor Toselli, Verónica Romero-Gomez, Joan-Andreu Sánchez, Enrique Vidal Ruiz. 108-113 [doi]
• Deep Splitting and Merging for Table Structure DecompositionChris Tensmeyer, Vlad I. Morariu, Brian L. Price, Scott Cohen, Tony Martinez. 114-121 [doi]
• Table Detection in Invoice Documents by Graph Neural NetworksPau Riba, Anjan Dutta 0001, Lutz Goldmann, Alicia Fornés, Oriol Ramos Terrades, Josep Lladós 0001. 122-127 [doi]
• TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document ImagesShubham Singh Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig. 128-133 [doi]
• Deep Visual Template-Free Form ParsingBrian L. Davis, Bryan S. Morse, Scott Cohen, Brian L. Price, Chris Tensmeyer. 134-141 [doi]
• Rethinking Table Recognition using Graph Neural NetworksShah Rukh Qasim, Hassan Mahmood, Faisal Shafait. 142-147 [doi]
• Breaking the Code on Broken Tablets: The Learning Challenge for Annotated Cuneiform Script in Normalized 2D and 3D DatasetsHubert Mara, Bartosz Bogacz. 148-153 [doi]
• OCR On-the-Go: Robust End-to-End Systems for Reading License Plates & Street SignsRohit Saluja, Ayush Maheshwari, Ganesh Ramakrishnan, Parag Chaudhuri, Mark J. Carman. 154-159 [doi]
• Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic LanguagesRohit Saluja, Mayur Punjabi, Mark J. Carman, Ganesh Ramakrishnan, Parag Chaudhuri. 160-165 [doi]
• DeepHSV: User-Independent Offline Signature Verification Using Two-Channel CNNChuang Li, Feng Lin, Zhiyong Wang, Gang Yu, Liou Yuan, Haiqiang Wang. 166-171 [doi]
• Generating Realistic Binarization Data with Generative Adversarial NetworksChris Tensmeyer, Mike Brodie, Daniel Saunders, Tony Martinez. 172-177 [doi]
• TH-GAN: Generative Adversarial Network Based Transfer Learning for Historical Chinese Character RecognitionJunyang Cai, Liangrui Peng, Yejun Tang, Changsong Liu, Pengchao Li. 178-183 [doi]
• Data Augmentation via Adversarial Networks for Optical Character Recognition/Conference SubmissionsVictor Storchan. 184-189 [doi]
• Detecting Named Entities in Unstructured Bengali Manuscript ImagesChandranath Adak, Bidyut B. Chaudhuri, Chin-Teng Lin, Michael Blumenstein. 196-201 [doi]
• Target-Directed MixUp for Labeling Tangut CharactersGuangwei Zhang, Yinliang Zhao. 202-207 [doi]
• DeepText: Detecting Text from the Wild with Multi-ASPP-Assembled DeepLabQingqing Wang, Wenjing Jia, Xiangjian He, Yue Lu, Michael Blumenstein, Ye Huang, Shujing Lyu. 208-213 [doi]
• Transductive Learning for Reading Handwritten Tibetan ManuscriptsSivan Keret, Lior Wolf, Nachum Dershowitz, Eric Werner, Orna Almogi, Dorji Wangchuk. 214-221 [doi]
• Learning Free Line Detection in Manuscripts using Distance Transform GraphMajeed Kassis, Jihad El-Sana. 222-227 [doi]
• Segmentation-Free Bangla Offline Handwriting Recognition using Sequential Detection of Characters and Diacritics with a Faster R-CNNNishatul Majid, Elisa H. Barney Smith. 228-233 [doi]
• Cascaded Detail-Preserving Networks for Super-Resolution of Document ImagesZhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He 0001. 240-245 [doi]
• Sub-Word Based Mongolian Offline Handwriting RecognitionDaoerji Fan, Guanglai Gao, Huijuan Wu. 246-253 [doi]
• EATEN: Entity-Aware Attention for Single Shot Visual Text ExtractionHe Guo, Xiameng Qin, Jiaming Liu, Junyu Han, Jingtuo Liu, Errui Ding. 254-259 [doi]
• Can One Deep Learning Model Learn Script-Independent Multilingual Word-Spotting?Mohammed Al-Rawi 0002, Ernest Valveny, Dimosthenis Karatzas. 260-267 [doi]
• Semi-Synthetic Data Augmentation of Scanned Historical DocumentsRomain Karpinski, Abdel Belaïd. 268-273 [doi]
• Attention After Attention: Reading Text in the Wild with Cross AttentionYunlong Huang, Canjie Luo, Lianwen Jin, Qingxiang Lin, Weiying Zhou. 274-280 [doi]
• A Teacher-Student Learning Based Born-Again Training Approach to Improving Scene Text Detection AccuracyZhuoyao Zhong, Lei Sun 0003, Qiang Huo. 281-286 [doi]
• Versatile Layout Understanding via Conjugate GraphAnimesh Prasad, Hervé Déjean, Jean-Luc Meunier. 287-294 [doi]
• Efficient, Lexicon-Free OCR using Deep LearningMarcin Namysl, Iuliu Konya. 295-301 [doi]
• Fast Distributional Smoothing for Regularization in CTC Applied to Text RecognitionRyohei Tanaka, Soichiro Ono, Akio Furuhata. 302-308 [doi]
• Oracle Character Recognition by Nearest Neighbor Classification with Deep Metric LearningYi-Kang Zhang, Heng Zhang, Yong-ge Liu, Qing Yang, Cheng-Lin Liu. 309-314 [doi]
• Template-Instance Loss for Offline Handwritten Chinese Character RecognitionYao Xiao, Dan Meng, Cewu Lu, Chi-Keung Tang. 315-322 [doi]
• Urdu-Text: A Dataset and Benchmark for Urdu Text Detection and Recognition in Natural ScenesAsghar Ali, Mark Pickering. 323-328 [doi]
• Attend, Copy, Parse End-to-end Information Extraction from DocumentsRasmus Berg Palm, Florian Laws, Ole Winther. 329-336 [doi]
• Aiding Intra-Text Representations with Visual Context for Multimodal Named Entity RecognitionOmer Arshad, Ignazio Gallo, Shah Nawaz, Alessandro Calefati. 337-342 [doi]
• WiSe - Slide Segmentation in the WildMonica Haurilet, Alina Roitberg, Manuel Martinez, Rainer Stiefelhagen. 343-348 [doi]
• Symmetric Inkball Alignment with Loopy ModelsNicholas Howe, Ji-Won Chung. 349-354 [doi]
• No Padding Please: Efficient Neural Handwriting RecognitionGideon Maillette de Buy Wenniger, Lambert Schomaker, Andy Way. 355-362 [doi]
• Integrating Coordinates with Context for Information Extraction in Document ImagesZhaohui Jiang, Zheng Huang, Yunrui Lian, Jie Guo, Weidong Qiu. 363-368 [doi]
• Text Line Segmentation in Historical Document Images Using an Adaptive U-Net ArchitectureOlfa Mechi, Maroua Mehri, Rolf Ingold, Najoua Essoukri Ben Amara. 369-374 [doi]
• TextEdge: Multi-oriented Scene Text Detection via Region Segmentation and Edge ClassificationChen Du, Chunheng Wang, Yanna Wang, Zipeng Feng, Jiyuan Zhang. 375-380 [doi]
• Extraction of Math Expressions from PDF Documents Based on Unsupervised Modeling of FontsZelun Wang, Donald Beyette, Jason Lin, Jyh-Charn Liu. 381-386 [doi]
• Bigram Label Regularization to Reduce Over-Segmentation on Inline Math Expression DetectionXing Wang, Zelun Wang, Jyh-Charn Liu. 387-392 [doi]
• Automatic Synthetic Document Image Generation using Generative Adversarial Networks: Application in Mobile-Captured Document AnalysisQuang Anh Bui, David Mollard, Salvatore Tabbone. 393-400 [doi]
• Selective Super-Resolution for Scene Text ImagesRyo Nakao, Brian Kenji Iwana, Seiichi Uchida. 401-406 [doi]
• Modality Conversion of Handwritten Patterns by Cross Variational AutoencodersTaichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida. 407-412 [doi]
• Adversarial Feature Enhancing Network for End-to-End Handwritten Paragraph RecognitionYaoxiong Huang, Zecheng Xie, Lianwen Jin, Yuanzhi Zhu, Shuaitao Zhang. 413-419 [doi]
• A Character Attention Generative Adversarial Network for Degraded Historical Document RestorationKha Cong Nguyen, Cuong Tuan Nguyen, Seiji Hotta, Masaki Nakagawa. 420-425 [doi]
• Towards Automated Evaluation of Handwritten AssessmentsVijay Rowtula, Subba Reddy Oota, Jawahar C. V. 426-433 [doi]
• Digital Auditor: A Framework for Matching Duplicate InvoicesHimanshu Sharad Bhatt, Shourya Roy, Lokesh Bhatnagar, Chetan Lohani, Vinit Jain. 434-441 [doi]
• Text Siamese Network for Video Textual Keyframe DetectionHao Song, Hongzhen Wang, Shan Huang, Pei Xu, Shen Huang, Qi Ju. 442-447 [doi]
• On the Ability of a CNN to Realize Image-to-Image Language ConversionKohei Baba, Seiichi Uchida, Brian Kenji Iwana. 448-453 [doi]
• Parameter-Free Table Detection MethodLaiphangbam Melinda, Chakravarthy Bhagvati. 454-460 [doi]
• Table Rows SegmentationHervé Déjean, Jean-Luc Meunier. 461-466 [doi]
• Discourse Descriptor for Document Incremental Classification Comparison with Deep LearningVincent Poulain D'Andecy, Aurélie Joseph, Joaquín Cuenca, Jean-Marc Ogier. 467-472 [doi]
• CNN-Based Accidental Detection in Dense Printed Piano ScoresKwon-Young Choi, Bertrand Coüasnon, Yann Ricquebourg, Richard Zanibbi. 473-480 [doi]
• Adversarial Generation of Handwritten Text Images Conditioned on SequencesEloi Alonso, Bastien Moysset, Ronaldo O. Messina. 481-486 [doi]
• Field Typing for Improved Recognition on Heterogeneous Handwritten FormsCiprian Tomoiaga, Paul Feng, Mathieu Salzmann, Patrick Jayet. 487-493 [doi]
• A Multi-task Network for Localization and Recognition of Text in ImagesMohammad Reza Sarshogh, Keegan E. Hines. 494-501 [doi]
• On the Use of Attention Mechanism in a Seq2Seq Based Approach for Off-Line Handwritten Digit String RecognitionThibault Lupinski, Abdel Belaïd, Afef Kacem Echi. 502-507 [doi]
• Scene Text Detection with Feature Pyramid Network and Linking SegmentsXi Liu, Rui Zhang, Yongsheng Zhou, Dong Wang. 508-513 [doi]
• Instance Aware Document Image Segmentation using Label Pyramid Networks and Deep Watershed TransformationXiaohui Li, Fei Yin, Tao Xue, Long Liu, Jean-Marc Ogier, Cheng-Lin Liu. 514-519 [doi]
• Detecting Text in News Images with Similarity Embedded ProposalsMiaotong Jiang, Jie-Bo Hou, Chun Yang, Xiaobin Zhu, Xu-Cheng Yin. 520-525 [doi]
• A Stroke-Based RNN for Writer-Independent Online Signature VerificationChuang Li, Xing Zhang, Feng Lin, Zhiyong Wang, Jun'E Liu, Rui Zhang, Haiqiang Wang. 526-532 [doi]
• CNN Based Binarization of MultiSpectral Document ImagesFabian Hollaus, Simon Brenner, Robert Sablatnig. 533-538 [doi]
• Text Line Adjustment Based on Neural NetworkRuochen Wang, Xiaojie Xia, Chunyan Zhang, Xiaoyi Yu, Jun Sun 0004, Satoshi Naoi. 539-544 [doi]
• Hybrid DBLSTM-SVM Based Beta-Elliptic-CNN Models for Online Arabic Characters RecognitionYahia Hamdi, Houcine Boubaker, Thameur Dhieb, Abdelkarim Elbaati, Adel M. Alimi. 545-550 [doi]
• Towards Document Image Quality Assessment: A Text Line Based Framework and a Synthetic Text Line Image DatasetHongYu Li, Fan Zhu, Junhua Qiu. 551-558 [doi]
• Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised LearningXugong Qin, Yu Zhou 0015, Dongbao Yang, Weiping Wang. 559-564 [doi]
• Hybrid Training Data for Historical Text OCRJirí Martínek, Ladislav Lenc, Pavel Král, Anguelos Nicolaou, Vincent Christlein. 565-570 [doi]
• An End-to-End Trainable System for Offline Handwritten Chemical Formulae RecognitionXiaoxue Liu, Ting Zhang, Xinguo Yu. 577-582 [doi]
• Exploring Confidence Measures for Word Spotting in Heterogeneous DatasetsFabian Wolf, Philipp Oberdiek, Gernot A. Fink. 583-588 [doi]
• Cross-Modal Prototype Learning for Zero-Shot Handwriting RecognitionXiang Ao, Xu-Yao Zhang, Hong-Ming Yang, Fei Yin, Cheng-Lin Liu. 589-594 [doi]
• Multiple Comparative Attention Network for Offline Handwritten Chinese Character RecognitionQingquan Xu, Xiang Bai, Wenyu Liu 0001. 595-600 [doi]
• An End-to-End Video Text Detector with Online TrackingHongyuan Yu, Chengquan Zhang, Xuan Li, Junyu Han, Errui Ding, Liang Wang. 601-606 [doi]
• KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep LearningTarin Clanuwat, Alex Lamb, Asanobu Kitamoto. 607-614 [doi]
• A New Approach for Integrated Recognition and Correction of Texts from ImagesJian Wei, Kai Chen 0006, Jianhua He, Zheng Huang, Yunrui Lian, Yi Zhou. 615-620 [doi]
• On the Improvement of Recognizing Single-Line Strings of Japanese Historical CursiveAyumu Nagai. 621-628 [doi]
• An Attention-Based End-to-End Model for Multiple Text Lines Recognition in Japanese Historical DocumentsNam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa. 629-634 [doi]
• Residual BiRNN Based Seq2Seq Model with Transition Probability Matrix for Online Handwritten Mathematical Expression RecognitionZelin Hong, Ning You, Jun Tan, Ning Bi. 635-640 [doi]
• Fuzzy Visibility Graph for Structural Analysis of Online Handwritten Mathematical ExpressionsArnaud Lods, Éric Anquetil, Sébastien Macé. 641-646 [doi]
• LPGA: Line-of-Sight Parsing with Graph-Based Attention for Math Formula RecognitionMahshad Mahdavi, Michael Condon, Kenny Davila, Richard Zanibbi. 647-654 [doi]
• A Cost Efficient Approach to Correct OCR Errors in Large Document CollectionsDeepayan Das, Jerin Philip, Minesh Mathew, C. V. Jawahar. 655-662 [doi]
• Using ASR Methods for OCRAshish Arora, Paola Garcia, Shinji Watanabe, Vimal Manohar, Yiwen Shao, Sanjeev Khudanpur, Chun-Chieh Chang, Babak Rekabdar, Bagher BabaAli, Daniel Povey, David Etter, Desh Raj, Hossein Hadian, Jan Trmal. 663-668 [doi]
• A Multi-oriented Chinese Keyword Spotter Guided by Text Line DetectionPei Xu, Shan Huang, Hongzhen Wang, Hao Song, Shen Huang, Qi Ju. 669-674 [doi]
• Cascading Modular U-Nets for Document Image BinarizationSeokjun Kang, Brian Kenji Iwana, Seiichi Uchida. 675-680 [doi]
• OBC306: A Large-Scale Oracle Bone Character Recognition DatasetShuangping Huang, Haobin Wang, Yongge Liu, Xiaosong Shi, Lianwen Jin. 681-688 [doi]
• GARN: A Novel Generative Adversarial Recognition Network for End-to-End Scene Character RecognitionHao Kong, Dongqi Tang, Xi Meng, Tong Lu. 689-694 [doi]
• A Text-Context-Aware CNN Network for Multi-oriented and Multi-language Scene Text DetectionYao Xiao, Minglong Xue, Tong Lu, Yirui Wu, Shivakumara Palaiahnakote. 695-700 [doi]
• Handwritten Words and Digits Recognition using Deep Learning Based Bag of Features FrameworkNajoua Rahal, Maroua Tounsi, Tarek M. Hamdani, Adel M. Alimi. 701-706 [doi]
• A Relation Network Based Approach to Curved Text DetectionChixiang Ma, Zhuoyao Zhong, Lei Sun, Qiang Huo. 707-713 [doi]
• An Efficient off-Line Handwritten Japanese Address Recognition SystemXiaojie Xia, Xiaoyi Yu, Wei Liu, Chunyan Zhang, Jun Sun 0004, Satoshi Naoi. 714-719 [doi]
• A Comprehensive Study of ImageNet Pre-Training for Historical Document Image AnalysisLinda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer 0002, Marcus Liwicki, Rolf Ingold. 720-725 [doi]
• GRK-Papyri: A Dataset of Greek Handwriting on Papyri for the Task of Writer IdentificationHussein Adnan Mohammed, Isabelle Marthot-Santaniello, Volker Märgner. 726-731 [doi]
• The Pinkas DatasetBerat Kurar Barakat, Jihad El-Sana, Irina Rabaev. 732-737 [doi]
• Layout Analysis on Challenging Historical Arabic Manuscripts using Siamese NetworkReem Alaasam, Berat Kurar, Jihad El-Sana. 738-742 [doi]
• Online Writer Identification using GMM Based Feature Representation and Writer-Specific WeightsVivek Venugopal, Suresh Sundaram. 743-748 [doi]
• ReS2TIM: Reconstruct Syntactic Structures from Table ImagesWenyuan Xue, Qingyong Li, Dacheng Tao. 749-755 [doi]
• Automatic Page Classification in a Large Collection of Manuscripts Based on the International Image Interoperability FrameworkEmanuela Emanuela Boros, Alexis Toumi, Erwan Rouchet, Bastien Abadie, Dominique Stutzmann, Christopher Kermorvant. 756-762 [doi]
• A GAN-Based Feature Generator for Table DetectionYibo Li, Liangcai Gao, Zhi Tang, Qinqin Yan, Yilun Huang. 763-768 [doi]
• Enhanced EAST: Improving Network's Feature Extraction Ability and Text Complete Shape PerceptionLiu Yang, Yonghong Song, Yuanlin Zhang 0001. 769-774 [doi]
• A Text Localization Method Based on Weak SupervisionJiyuan Zhang, Chen Du, Zipeng Feng, Yanna Wang, Chunheng Wang. 775-780 [doi]
• NRTR: A No-Recurrence Sequence-to-Sequence Model for Scene Text RecognitionFenfen Sheng, Zhineng Chen, Bo Xu 0002. 781-786 [doi]
• A Robust Data Hiding Scheme Using Generated Content for Securing Genuine DocumentsCu Vinh Loc, Jean-Christophe Burie, Jean-Marc Ogier, Cheng-Lin Liu. 787-792 [doi]
• CASIA-AHCDB: A Large-Scale Chinese Ancient Handwritten Characters DatabaseYue Xu, Fei Yin, Da-Han Wang, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu. 793-798 [doi]
• Manifold Mixup Improves Text Recognition with CTC LossBastien Moysset, Ronaldo O. Messina. 799-804 [doi]
• Selective Style Transfer for TextRaul Gomez, Ali Furkan Biten, Lluís Gómez, Jaume Gibert, Dimosthenis Karatzas, Marçal Rusiñol. 805-812 [doi]
• A YOLO-Based Table Detection MethodYilun Huang, Qinqin Yan, Yibo Li, Yifan Chen, Xiong Wang, Liangcai Gao, Zhi Tang. 813-818 [doi]
• An Interactive and Generative Approach for Chinese Shanshui Painting DocumentLe Zhou, Qiu-Feng Wang, Kaizhu Huang, Cheng-Hung Lo. 819-824 [doi]
• Scene Text MagnifierToshiki Nakamura, Anna Zhu, Seiichi Uchida. 825-830 [doi]
• Exploration of CNN Features for Online Handwriting RecognitionSubhasis Mandal, S. R. M. Prasanna, Suresh Sundaram. 831-836 [doi]
• Universal Barcode Detector via Semantic SegmentationAndrey Zharkov, Ivan Zagaynov. 837-843 [doi]
• HoughNet: Neural Network Architecture for Vanishing Points DetectionAlexander Sheshkus, Anastasia Ingacheva, Vladimir L. Arlazarov, Dmitry P. Nikolaev. 844-849 [doi]
• Fast Method of ID Documents Location and Type Identification for Mobile and Server ApplicationNatalya Skoryukina, Vladimir L. Arlazarov, Dmitry P. Nikolaev. 850-857 [doi]
• Combination of Deep Learning and Syntactical Approaches for the Interpretation of Interactions Between Text-Lines and Tabular Structures in Handwritten DocumentsCamille Guerry, Bertrand Coüasnon, Aurélie Lemaitre. 858-863 [doi]
• A Synthetic Recipe for OCRDavid Etter, Stephen Rawls, Cameron Carpenter, Gregory Sell. 864-869 [doi]
• Synthesis of Handwriting Dynamics using Sinusoidal ModelHimakshi Choudhury, S. R. Mahadeva Prasanna. 870-875 [doi]
• Post-OCR Error Detection by Generating Plausible CandidatesThi-Tuyet-Hai Nguyen, Adam Jatowt, Mickaël Coustaty, Nhu-Van Nguyen, Antoine Doucet. 876-881 [doi]
• Music Symbol Sequence Indexing in Medieval Plainchant ManuscriptsJorge Calvo-Zaragoza, Alejandro H. Toselli, Enrique Vidal 0001, Joan-Andreu Sánchez. 882-887 [doi]
• Bi-Level Masked Multi-scale CNN-RNN Networks for Short Text RepresentationQian Li 0006, Qiang Wu, Chengzhang Zhu, Jian Zhang. 888-893 [doi]
• Challenges in End-to-End Neural Scientific Table RecognitionYuntian Deng, David S. Rosenberg, Gideon Mann. 894-901 [doi]
• Deep Neural Networks for Text Detection and Recognition in Historical MapsJerod Weinman, Ziwen Chen, Ben Gafford, Nathan Gifford, Abyaya Lamsal, Liam Niehus-Staab. 902-909 [doi]
• Woodblock-Printing Mongolian Words Recognition by Bi-LSTM with Attention MechanismYanke Kang, Hongxi Wei, Hui Zhang, Guanglai Gao. 910-915 [doi]
• A Comparative Study of Attention-Based Encoder-Decoder Approaches to Natural Scene Text RecognitionFu'ze Cong, Wenping Hu, Qiang Huo, Li Guo. 916-921 [doi]
• Generating Synthetic Handwritten Mathematical Expressions from a LaTeX Sequence or a MathML ScriptVu Tran Minh Khuong, Quang Huy Ung, Masaki Nakagawa, Khanh Minh Phan. 922-927 [doi]
• RankSVM for Offline Signature VerificationYan Zheng, Yuchen Zheng, Wataru Ohyama, Daiki Suehiro, Seiichi Uchida. 928-933 [doi]
• Japanese Character Segmentation for Historical Handwritten Official Documents Using Fully Convolutional NetworksKei Watanabe, Shinji Takahashi, Yuki Kamaya, Masashi Yamada, Yoshito Mekada, Jun-ichi Hasegawa, Shinya Miyazaki. 934-940 [doi]
• Deformation Classification of Drawings for Assessment of Visual-Motor Perceptual MaturityMomina Moetesum, Imran Siddiqi, Nicole Vincent. 941-946 [doi]
• OCR-VQA: Visual Question Answering by Reading Text in ImagesAnand Mishra 0001, Shashank Shekhar, Ajeet Kumar Singh, Anirban Chakraborty. 947-952 [doi]
• DICE: Deep Intelligent Contextual Embedding for Twitter Sentiment AnalysisUsman Naseem, Katarzyna Musial. 953-958 [doi]
• Care Label RecognitionJiri Kralicek, Jiri Matas, Michal Busta. 959-966 [doi]
• Deep Learning Based Approach for Historical Manuscript DatingAnmol Hamid, Maryam Bibi, Momina Moetesum, Imran Siddiqi. 967-972 [doi]
• Binarization of Degraded Document Images using Convolutional Neural Networks Based on Predicted Two-Channel ImagesYounes Akbari, Alceu S. Britto, Somaya Al-Máadeed, Luiz S. Oliveira. 973-978 [doi]
• Multi-label Connectionist Temporal ClassificationCurtis Wigington, Brian L. Price, Scott Cohen. 979-986 [doi]
• Zero Shot Learning Based Script Identification in the WildPrateek Keserwani, Kanjar de, Partha Pratim Roy 0001, Umapada Pal 0001. 987-992 [doi]
• Contextual Stroke Classification in Online Handwritten Documents with Graph Attention NetworksJun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu. 993-998 [doi]
• Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic ManuscriptsAbhishek Prusty, Sowmya Aitha, Abhishek Trivedi, Ravi Kiran Sarvadevabhatla. 999-1006 [doi]
• Article Segmentation in Digitised Newspapers with a 2D Markov ModelAndrew Naoum, Joel Nothman, James R. Curran. 1007-1014 [doi]
• PubLayNet: Largest Dataset Ever for Document Layout AnalysisXu Zhong, Jianbin Tang, Antonio Jimeno-Yepes. 1015-1022 [doi]
• Page Segmentation using a Convolutional Neural Network with Trainable Co-Occurrence FeaturesJoonho Lee, Hideaki Hayashi, Wataru Ohyama, Seiichi Uchida. 1023-1028 [doi]
• DoT-Net: Document Layout Classification Using Texture-Based CNNSai Chandra Kosaraju, Mohammad Masum, Nelson Zange Tsaku, Pritesh Patel, Tanju Bayramoglu, Girish Modgil, Mingon Kang. 1029-1034 [doi]
• CNN-BLSTM-CRF Network for Semantic Labeling of Students' Online Handwritten AssignmentsAmirali Darvishzadeh, Thomas F. Stahovich, Amir Feghahati, Negin Entezari, Shaghayegh Gharghabi, Reed Kanemaru, Christian Shelton. 1035-1040 [doi]
• Serif or Sans: Visual Font Analytics on Book Covers and Online AdvertisementsYuto Shinahara, Takuro Karamatsu, Daisuke Harada, Kota Yamaguchi, Seiichi Uchida. 1041-1046 [doi]
• Content Extraction from Lecture Video via Speaker Action Classification Based on Pose InformationFei Xu, Kenny Davila, Srirangaraj Setlur, Venu Govindaraju. 1047-1054 [doi]
• Developing Horizon Scanning Methods for the Discovery of Scientific TrendsMaja Karasalo, Johan Schubert. 1055-1062 [doi]
• Identifying the Central Figure of a Scientific PaperSean T. Yang, Po-Shen Lee, Lia Kazakova, Abhishek Joshi, Bum Mook Oh, Jevin D. West, Bill Howe. 1063-1070 [doi]
• BRIDGE: Building Plan Repository for Image Description Generation, and EvaluationShreya Goyal, Vishesh Mistry, Chiranjoy Chattopadhyay, Gaurav Bhatnagar. 1071-1076 [doi]
• Patch Aggregator for Scene Text Script IdentificationChangxu Cheng, Qiuhui Huang, Xiang Bai, Bin Feng, Wenyu Liu 0001. 1077-1083 [doi]
• Script Identification using Across- and Within-Image Distribution EstimationGregory Sell, David Etter, Daniel Garcia-Romero, Alan McCree. 1084-1089 [doi]
• Deep Generalized Max PoolingVincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier. 1090-1096 [doi]
• A Spatio-Spectral Hybrid Convolutional Architecture for Hyperspectral Document AuthenticationMuhammad Jaleed Khan, Khurram Khurshid, Faisal Shafait. 1097-1102 [doi]
• Deep Dynamic Time Warping: End-to-End Local Representation Learning for Online Signature VerificationXiaomeng Wu, Akisato Kimura, Brian Kenji Iwana, Seiichi Uchida, Kunio Kashino. 1103-1110 [doi]
• Capturing Micro Deformations from Pooling Layers for Offline Signature VerificationYuchen Zheng, Wataru Ohyama, Brian Kenji Iwana, Seiichi Uchida. 1111-1116 [doi]
• Offline Signature Verification using Structural Dynamic Time WarpingMichael Stauffer, Paul Maergner, Andreas Fischer 0002, Rolf Ingold, Kaspar Riesen. 1117-1124 [doi]
• Online Signature Verification by Few-Shot Separable Convolution Based Deep LearningChandra Sekhar Vorugunti, Rama Krishna Sai Gorthi, Viswanath Pulabaigari. 1125-1130 [doi]
• Age Estimation using Disconnectedness Features in HandwritingV. Basavaraja, Palaiahnakote Shivakumara, D. S. Guru, Umapada Pal 0001, Tong Lu, Michael Blumenstein. 1131-1136 [doi]
• Offline Writer Identification Based on the Path Signature FeatureSongxuan Lai, Lianwen Jin. 1137-1142 [doi]
• Do You Need More Data? The DeepSignDB On-Line Handwritten Signature Biometric DatabaseRubén Tolosana, Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales, Javier Ortega-Garcia. 1143-1148 [doi]
• CRNN Based Jersey-Bib Number/Text Recognition in Sports and Marathon ImagesSauradip Nag, Raghavendra Ramachandra, Palaiahnakote Shivakumara, Umapada Pal 0001, Tong Lu, Mohan Kankanhalli. 1149-1156 [doi]
• KeyWord Spotting using Siamese Triplet Deep Neural NetworksYasmine Serdouk, Véronique Eglin, Stéphane Bres, Mylène Pardoen. 1157-1162 [doi]
• Learning Character Recognition with Graph-Based Privileged InformationFlorian Westphal, Niklas Lavesson, Håkan Grahn. 1163-1168 [doi]
• Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned DocumentsShashank Mujumdar, Nitin Gupta, Abhinav Jain, Douglas Burdick. 1169-1174 [doi]
• Improving Text Recognition using Optical and Language Model Writer AdaptationYann Soullard, Wassim Swaileh, Pierrick Tranouez, Thierry Paquet, Clément Chatelain 0001. 1175-1180 [doi]
• Multi-modal Attention Network for Handwritten Mathematical Expression RecognitionJia-Ming Wang, Jun Du, Jianshu Zhang, Zi-Rui Wang. 1181-1186 [doi]
• Semantic and Interaction: When Document Image Analysis Meets Computer Vision and Machine LearningJean-Yves Ramel, Nicole Vincent. 1187-1192 [doi]
• Improving Text Image Resolution using a Deep Generative Adversarial Network for Optical Character RecognitionXiangdong Su, Huali Xu, Ying Kang, Xiang Hao, Guanglai Gao, Yue Zhang. 1193-1199 [doi]
• Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval ManuscriptsMichele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki. 1200-1206 [doi]
• PopEval: A Character-Level Approach to End-to-End Evaluation Compatible with Word-Level Benchmark DatasetHong-Seok Lee, Youngmin Yoon, Pil-Hoon Jang, Chankyu Choi. 1207-1213 [doi]
• Hiding Security Feature Into Text Content for Securing Documents Using Generated FontCu Vinh Loc, Jean-Christophe Burie, Jean-Marc Ogier, Cheng-Lin Liu. 1214-1219 [doi]
• A Modified Inception-ResNet Network with Discriminant Weighting Loss for Handwritten Chinese Character RecognitionLinhui Chen, Liangrui Peng, Gang Yao, Changsong Liu, Xudong Zhang. 1220-1225 [doi]
• A Novel Procedure to Speed up the Transcription of Historical Handwritten Documents by Interleaving Keyword Spotting and user ValidationAdolfo Santoro, Angelo Marcelli. 1226-1230 [doi]
• Handwriting Recognition Based on Temporal Order Restored by the End-to-End SystemAbdelkarim Elbaati, Yahia Hamdi, Adel M. Alimi. 1231-1236 [doi]
• Deep CNN-Based Speech Balloon Detection and Segmentation for Comic BooksDavid Dubray, Jochen Laubrock. 1237-1243 [doi]
• A New Document Image Quality Assessment Method Based on Hast DerivationsAlireza Alaei. 1244-1249 [doi]
• Analysis of Unsupervised Training Approaches for LSTM-Based OCRMartin Jenckel, Syed Saqib Bukhari, Andreas Dengel 0001. 1250-1255 [doi]
• Unsupervised OCR Model Evaluation Using GANAbhash Sinha, Martin Jenckel, Syed Saqib Bukhari, Andreas Dengel 0001. 1256-1261 [doi]
• Chemical Structure Recognition (CSR) System: Automatic Analysis of 2D Chemical Structures in Document ImagesSyed Saqib Bukhari, Zaryab Iftikhar, Andreas Dengel 0001. 1262-1267 [doi]
• Amharic Text Image Recognition: Database, Algorithm, and AnalysisBirhanu Hailu Belay, Tewodros Habtegebrial, Marcus Liwicki, Gebeyehu Belay, Didier Stricker. 1268-1273 [doi]
• A Genetic-Based Search for Adaptive Table Recognition in SpreadsheetsElvis Koci, Maik Thiele, Oscar Romero 0001, Wolfgang Lehner. 1274-1279 [doi]
• DECO: A Dataset of Annotated Spreadsheets for Layout and Table RecognitionElvis Koci, Maik Thiele, Josephine Rehak, Oscar Romero 0001, Wolfgang Lehner. 1280-1285 [doi]
• Evaluating Sequence-to-Sequence Models for Handwritten Text RecognitionJohannes Michael, Roger Labahn, Tobias Grüning, Jochen Zöllner. 1286-1293 [doi]
• Training-Free and Segmentation-Free Word Spotting using Feature Matching and Query ExpansionEkta Vats, Anders Hast, Alicia Fornés. 1294-1299 [doi]
• Textual Description for Mathematical EquationsAjoy Mondal, C. V. Jawahar. 1300-1307 [doi]
• Recurrent Neural Network Approach for Table Field Extraction in Business DocumentsClément Sage, Alexandre Aussem, Haytham Elghazel, Véronique Eglin, Jérémy Espinas. 1308-1313 [doi]
• Faster R-CNN Based Table Detection Combining Corner LocatingNingning Sun, Yuanping Zhu, Xiaoming Hu. 1314-1319 [doi]
• Weighted Direct Matching Points for User Stability Model in Multiple Domains: A Proposal for On-Line Signature VerificationDonato Impedovo, Giuseppe Pirlo, Moisés Díaz, Miguel Angel Ferrer-Ballester. 1320-1325 [doi]
• DeepSignCX: Signature Complexity Detection using Recurrent Neural NetworksRubén Vera-Rodríguez, Rubén Tolosana, Miguel Caruana, Gustavo Manzano, Carlos Gonzalez-Garcia, Julian Fiérrez, Javier Ortega-Garcia. 1326-1331 [doi]
• Recurrent Comparator with Attention Models to Detect Counterfeit DocumentsAlbert Berenguel Centeno, Oriol Ramos Terrades, Josep Lladós Canet, Cristina Cañero Morales. 1332-1337 [doi]
• Linking Art through Human PosesTomás Jenícek, Ondrej Chum. 1338-1345 [doi]
• Thai Handwritten Recognition on Text Block-Based from Thai Archive ManuscriptsRapeeporn Chamchong, Wei Gao, Mark D. McDonnell. 1346-1351 [doi]
• Brno Mobile OCR DatasetMartin Kiss, Michal Hradis, Oldrich Kodym. 1352-1357 [doi]
• A New Parallel Detection-Recognition Approach for End-to-End Scene Text ExtractionJinrong Li, Zijian Zhou, Zhizhong Su, Shuangping Huang, Lianwen Jin. 1358-1365 [doi]
• Table Structure Extraction with Bi-Directional Gated Recurrent Unit NetworksSaqib Ali Khan, Syed Muhammad Daniyal Khalid, Muhammad Ali Shahzad, Faisal Shafait. 1366-1371 [doi]
• A Deep Transfer Learning Approach to Document Image Quality AssessmentTan Lu, Ann Dooms. 1372-1377 [doi]
• HITHCD-2018: Handwritten Chinese Character Database of 21K-CategoryTonghua Su, Wei Pan, Lijuan Yu. 1378-1383 [doi]
• Learning Free Document Image Binarization Based on Fast Fuzzy C-Means ClusteringTanmoy Mondal, Mickaël Coustaty, Petra Gomez-Krämer, Jean-Marc Ogier. 1384-1389 [doi]
• A Robust Hybrid Approach for Textual Document ClassificationMuhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Andreas Dengel 0001, Sheraz Ahmed. 1390-1396 [doi]
• Rethinking Semantic Segmentation for Table Structure Recognition in DocumentsShoaib Ahmed Siddiqui, Pervaiz Iqbal Khan, Andreas Dengel 0001, Sheraz Ahmed. 1397-1402 [doi]
• DeepTabStR: Deep Learning based Table Structure RecognitionShoaib Ahmed Siddiqui, Imran Ali Fateh, Syed Tahseen Raza Rizvi, Andreas Dengel 0001, Sheraz Ahmed. 1403-1409 [doi]
• Two Stream Deep Network for Document Image ClassificationMuhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Khizar Razzaque, Andreas Dengel 0001, Sheraz Ahmed. 1410-1416 [doi]
• Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural NetworkPaloma G. S. Silva, Celso A. M. L. Junior, Estanislau Lima, Byron L. D. Bezerra, Cleber Zanchettin. 1417-1423 [doi]
• End-to-End Measure for Text RecognitionGundram Leifert, Roger Labahn, Tobias Grüning, Svenja Leifert. 1424-1431 [doi]
• Document Domain Adaptation with Generative Adversarial NetworksDiede Rusticus, Lutz Goldmann, Matthias Reisser, Mauricio Villegas. 1432-1437 [doi]
• A Neural Approach for Text Extraction from Scholarly FiguresDavid Morris, Peichen Tang, Ralph Ewerth. 1438-1443 [doi]
• A Quality and Time Assessment of Binarization AlgorithmsRafael Dueire Lins, Rodrigo Barros Bernardino, Darlisson Marinho de Jesus. 1444-1450 [doi]
• A Study of Script Language Effects in Deep Neural-Network-Based Scene Text DetectionJiaxin Cheng, Achin Gupta, Yue Wu 0001, Premkumar Natarajan. 1451-1457 [doi]
• Fast Text/non-Text Image Classification with Knowledge DistillationMiao Zhao, Rui-Qi Wang, Fei Yin, Xu-Yao Zhang, Lin-Lin Huang, Jean-Marc Ogier. 1458-1463 [doi]
• A Handwritten Chinese Text Recognizer Applying Multi-level Multimodal Fusion NetworkYuhuan Xiu, Qingqing Wang, Hongjian Zhan, Man Lan, Yue Lu. 1464-1469 [doi]
• OSVNet: Convolutional Siamese Network for Writer Independent Online Signature VerificationChandra Sekhar Vorugunti, Guru Devanur S, Prerana Mukherjee, Viswanath Pulabaigari. 1470-1475 [doi]
• Blind Source Separation Based Framework for Multispectral Document Images BinarizationAbderrahmane Rahiche, Athmane Bakhta, Mohamed Cheriet. 1476-1481 [doi]
• Logo Design Analysis by RankingTakuro Karamatsu, Daiki Suehiro, Seiichi Uchida. 1482-1487 [doi]
• ICDAR2019 Competition on Historical Book Analysis - HBA2019Maroua Mehri, Pierre Héroux, Rémy Mullot, Jean philippe Moreux, Bertrand Coüasnon, Bill Barrett. 1488-1493 [doi]
• cBAD: ICDAR2019 Competition on Baseline DetectionMarkus Diem, Florian Kleber, Robert Sablatnig, Basilis Gatos. 1494-1498 [doi]
• ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family RecordsRajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki, Foteini Simistira Liwicki. 1499-1504 [doi]
• ICDAR 2019 Competition on Image Retrieval for Historical Handwritten DocumentsVincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann, Andreas Maier. 1505-1509 [doi]
• ICDAR 2019 Competition on Table Detection and Recognition (cTDaR)Liangcai Gao, Yilun Huang, Hervé Déjean, Jean-Luc Meunier, Qinqin Yan, Yu Fang, Florian Kleber, Eva Maria Lang. 1510-1515 [doi]
• ICDAR2019 Competition on Scanned Receipt OCR and Information ExtractionZheng Huang, Kai Chen, Jianhua He, Xiang Bai, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar. 1516-1520 [doi]
• ICDAR2019 Competition on Recognition of Documents with Complex Layouts - RDCL2019Christian Clausner, Apostolos Antonacopoulos, Stefan Pletschacher. 1521-1526 [doi]
• ICDAR2019 Competition on Recognition of Early Indian Printed Documents - REID2019Christian Clausner, Apostolos Antonacopoulos, Tom Derrick, Stefan Pletschacher. 1527-1532 [doi]
• ICDAR 2019 CROHME + TFD: Competition on Recognition of Handwritten Mathematical Expressions and Typeset Formula DetectionMahshad Mahdavi, Richard Zanibbi, Harold Mouchère, Christian Viard-Gaudin, Utpal Garain. 1533-1538 [doi]
• ICDAR 2019 Time-Quality Binarization CompetitionRafael Dueire Lins, Ergina Kavallieratou, Elisa Barney Smith, Rodrigo Barros Bernardino, Darlisson Marinho de Jesus. 1539-1546 [doi]
• ICDAR 2019 Competition on Document Image Binarization (DIBCO 2019)Ioannis Pratikakis, Konstantinos Zagoris, Xenofon Karagiannis, Lazaros T. Tsochatzidis, Tanmoy Mondal, Isabelle Marthot-Santaniello. 1547-1556 [doi]
• ICDAR 2019 Competition on Large-Scale Street View Text with Partial Labeling - RRC-LSVTYipeng Sun, Dimosthenis Karatzas, Chee Seng Chan, Lianwen Jin, Zihan Ni, Chee Kheng Chng, Yuliang Liu, Canjie Luo, Chun Chet Ng, Junyu Han, Errui Ding, Jingtuo Liu. 1557-1562 [doi]
• ICDAR 2019 Competition on Scene Text Visual Question AnsweringAli Furkan Biten, Rubèn Tito, Andrés Mafla, Lluís Gómez, Marçal Rusiñol, Minesh Mathew, C. V. Jawahar, Ernest Valveny, Dimosthenis Karatzas. 1563-1570 [doi]
• ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text - RRC-ArTChee Kheng Chng, Errui Ding, Jingtuo Liu, Dimosthenis Karatzas, Chee Seng Chan, Lianwen Jin, Yuliang Liu, Yipeng Sun, Chun Chet Ng, Canjie Luo, Zihan Ni, ChuanMing Fang, Shuaitao Zhang, Junyu Han. 1571-1576 [doi]
• ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on SignboardRui Zhang, Mingkun Yang, Xiang Bai, Baoguang Shi, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao. 1577-1581 [doi]
• ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019Nibal Nayef, Cheng-Lin Liu, Jean-Marc Ogier, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal 0001, Jean-Christophe Burie. 1582-1587 [doi]
• ICDAR 2019 Competition on Post-OCR Text CorrectionChristophe Rigaud, Antoine Doucet, Mickaël Coustaty, Jean philippe Moreux. 1588-1593 [doi]
• ICDAR 2019 Competition on Harvesting Raw Tables from Infographics (CHART-Infographics)Kenny Davila, Bhargava Urala Kota, Srirangaraj Setlur, Venu Govindaraju, Christopher Tensmeyer, Sumit Shekhar, Ritwick Chaudhry. 1594-1599 [doi]