Table of Contents

• SRR-GAN: Super-Resolution based Recognition with GAN for Low-Resolved Text ImagesMing-Chao Xu, Fei Yin, Cheng-Lin Liu. 1-6 [doi]
• Air-Writing Recognition using Deep Convolutional and Recurrent Neural Network ArchitecturesGrigoris Bastas, Kosmas Kritsis, Vassilis Katsouros. 7-12 [doi]
• Improving the robustness of LSTMs for word classification using stressed word endings in dual-state word-beam searchMahya Ameryan, Lambert Schomaker. 13-18 [doi]
• Recurrence-free unconstrained handwritten text recognition using gated fully convolutional networkDenis Coquenet, Clément Chatelain 0001, Thierry Paquet. 19-24 [doi]
• Improving offline HTR in small datasets by purging unreliable labelsJosé Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos. 25-30 [doi]
• Joint Layout Analysis, Character Detection and Recognition for Historical Document DigitizationWeihong Ma, Hesuo Zhang, Lianwen Jin, Sihang Wu, Jiapeng Wang, Yongpan Wang. 31-36 [doi]
• Skeletal Similarity based Structural Performance Evaluation for Document BinarizationAugusto César Monteiro Silva, Nina S. T. Hirata, Xiaoyi Jiang. 37-42 [doi]
• Towards Query-by-eXpression Retrieval of Cuneiform SignsEugen Rusakov, Turna Somel, Gernot A. Fink, Gerfrid G. W. Müller. 43-48 [doi]
• Bootstrapping Weakly Supervised Segmentation-free Word Spotting through HMM-based AlignmentTomas Wilkinson, Carl Nettelblad. 49-54 [doi]
• Identifying and Tackling Key Challenges in Semantic Word SpottingOliver Tüselmann, Fabian Wolf, Gernot A. Fink. 55-60 [doi]
• Improving Handwritten Word Synthesis for Annotation-free Word SpottingFabian Wolf, Kai Brandenbusch, Gernot A. Fink. 61-66 [doi]
• The "ScribbleLens" Dutch Historical Handwriting CorpusHans J. G. A. Dolfing, Jerome R. Bellegarda, Jan Chorowski, Ricard Marxer, Antoine Laurent. 67-72 [doi]
• Data Augmentation and Text Recognition on Khmer Historical ManuscriptsDona Valy, Michel Verleysen, Sophea Chhun. 73-78 [doi]
• A comparison of sequential and combined approaches for named entity recognition in a corpus of handwritten medieval chartersEmanuela Boros, Verónica Romero 0001, Martin Maarand, Katerina Zenklová, Jitka Krecková, Enrique Vidal 0001, Dominique Stutzmann, Christopher Kermorvant. 79-84 [doi]
• The Carabela Project and Manuscript Collection: Large-Scale Probabilistic Indexing and Content-based ClassificationE. Vidal, Verónica Romero 0001, Alejandro H. Toselli, J. A. Sánchez, Vicente Bosch, Lorenzo Quirós, José-Miguel Benedí, José Ramón Prieto, Moisés Pastor, Francisco Casacuberta, C. Alonso, C. García, L. Márquez, C. Orcero. 85-90 [doi]
• docExtractor: An off-the-shelf historical document element extractionTom Monnier, Mathieu Aubry. 91-96 [doi]
• Recognizing Japanese Historical Cursive with Pseudo-Labeling-aided CRNN as an Application of Semi-Supervised Learning to Sequence LabelingAyumu Nagai. 97-102 [doi]
• Handwriting Prediction Considering Inter-Class Bifurcation StructuresMasaki Yamagata, Hideaki Hayashi, Seiichi Uchida. 103-108 [doi]
• What is the Reward for Handwriting? - A Handwriting Generation Model Based on Imitation LearningKeisuke Kanda, Brian Kenji Iwana, Seiichi Uchida. 109-114 [doi]
• Dynamic Handwriting Analysis for Parkinson's Disease Identification using C-BiGRU ModelMomina Moetesum, Imran Siddiqi, Farah Javed, Uzma Masroor. 115-120 [doi]
• A Deep Learning Framework with Histogram Features for Online Writer IdentificationSounak Ray, Addrish Roy, Suresh Sundaram. 121-126 [doi]
• A Semantic Segmentation-based Method for Handwritten Japanese Text RecognitionKha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa. 127-132 [doi]
• A Study of BPE-based Language Modeling for Open Vocabulary Latin Language OCRWenping Hu, Yikang Luo, Ji Meng, Zifei Qian, Qiang Huo. 133-138 [doi]
• Distilling Content from Style for Handwritten Word RecognitionLei Kang, Pau Riba, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas. 139-144 [doi]
• Two Semi-Supervised Training Approaches for Automated Text RecognitionGundram Leifert, Roger Labahn, Joan-Andreu Sánchez. 145-150 [doi]
• Improving Handwritten OCR with Augmented Text Line Images Synthesized from Online Handwriting Samples by Style-Conditioned GANMingyang Guan, Haisong Ding, Kai Chen 0001, Qiang Huo. 151-156 [doi]
• Weakly Supervised Learning for Over-Segmentation Based Handwritten Chinese Text RecognitionZhen-Xing Wang, Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu. 157-162 [doi]
• Attention Augmented Convolutional Recurrent Network for Handwritten Japanese Text RecognitionNam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa. 163-168 [doi]
• An attention based method for offline handwritten Urdu text recognitionTayaba Anjum, Nazar Khan. 169-174 [doi]
• Improving Attention-Based Handwritten Mathematical Expression Recognition with Scale Augmentation and Drop AttentionZhe Li, Lianwen Jin, Songxuan Lai, Yecheng Zhu. 175-180 [doi]
• Improvement of End-to-End Offline Handwritten Mathematical Expression Recognition by Weakly Supervised LearningThanh-Nghia Truong, Cuong Tuan Nguyen, Khanh Minh Phan, Masaki Nakagawa. 181-186 [doi]
• Lyrics Recognition and Syllable Assignment of Medieval Music ManuscriptsChristoph Wick, Alexander Hartelt, Frank Puppe. 187-192 [doi]
• Exploring the two-dimensional nature of music notation for score recognition with end-to-end approachesAntonio Ríos-Vila, Jorge Calvo-Zaragoza, José M. Iñesta. 193-198 [doi]
• Handwritten Music Recognition Improvement through Language Model Re-interpretation for Mensural NotationManuel Villarreal, Joan-Andreu Sánchez. 199-204 [doi]
• Handwritten Historical Music Recognition by Sequence-to-Sequence with Attention MechanismArnau Baró, Carles Badal, Alicia Fornés. 205-210 [doi]
• ICFHR 2020 Competition on Offline Recognition and Spotting of Handwritten Mathematical Expressions - OffRaSHMEDa-Han Wang, Fei Yin, Jin-Wen Wu, Yu-Pei Yan, Zhi-cai Huang, Gui-Yun Chen, Yao Wang, Cheng-Lin Liu. 211-215 [doi]
• ICFHR 2020 Competition on Image Retrieval for Historical Handwritten FragmentsMathias Seuret, Anguelos Nicolaou, Andreas Maier 0001, Vincent Christlein, Dominique Stutzmann. 216-221 [doi]
• ICFHR 2020 Competition on Short answer ASsessment and Thai student SIGnature and Name COMponents Recognition and Verification (SASIGCOM 2020)Abhijit Das 0001, Hemmaphan Suwanwiwat, Umapada Pal 0001, Michael Blumenstein. 222-227 [doi]
• The HHD DatasetIrina Rabaev, Berat Kurar Barakat, Alexander Churkin, Jihad El-Sana. 228-233 [doi]
• Towards Accurate Identification and Removal of Shirorekha from Off-line Handwritten Devanagari word DocumentsMohammad Idrees Bhat, B. Sharada, Sk Md Obaidullah, Mohammad Imran. 234-239 [doi]
• Unsupervised Deep Learning for Handwritten Page SegmentationAhmad Droby, Berat Kurar Barakat, Boraq Madi, Reem Alaasam, Jihad El-Sana. 240-245 [doi]
• Period Classification of 3D Cuneiform Tablets with Geometric Neural NetworksBartosz Bogacz, Hubert Mara. 246-251 [doi]
• Exploring the Impact of Handwriting Recognition on the Automated Scoring of Handwritten Student AnswersChristian Gold, Torsten Zesch. 252-257 [doi]
• Text Content Based Layout AnalysisJosé Ramón Prieto, Vicente Bosch, Enrique Vidal 0001, Dominique Stutzmann, Sébastien Hamel. 258-263 [doi]
• Collection of Online and Offline Handwritten Japanese Charcters and Handwriting Classification Using the DataYoko Seki. 264-269 [doi]
• Integrating Writing Dynamics in CNN for Online Children Handwriting RecognitionSimon Corbille, Élisa Fromont, Éric Anquetil, Pauline Nerdeux. 270-275 [doi]
• Spatio-temporal Clustering for Grouping in Online Handwriting Document Layout Analysis with GRU-RNNSerhii Polotskyi, Olga Radyvonenko, Illya Degtyarenko, Ivan Deriuga. 276-281 [doi]
• Point-to-Set Similarity Based Deep Metric Learning for Offline Signature VerificationYecheng Zhu, Songxuan Lai, Zhe Li, Lianwen Jin. 282-287 [doi]
• Attention Combination of Sequence Models for Handwritten Chinese Text RecognitionZheng-Yu Zhu, Fei Yin, Da-Han Wang. 288-294 [doi]
• Digitizing Handwriting with a Sensor Pen: A Writer-Independent RecognizerMohamad Wehbi, Tim Hamann, Jens Barth, Bjoern Eskofier. 295-300 [doi]
• Robust Handwriting Recognition with Limited and Noisy DataHai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabás Póczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu. 301-306 [doi]
• A Siamese Network-based Approach For Matching Various Sizes Of Excavated Wooden FragmentsTrung Tan Ngo, Cuong Tuan Nguyen, Masaki Nakagawa. 307-312 [doi]
• A Modular Region and Text Line Layout Analysis SystemBenjamin Kiessling. 313-318 [doi]
• Online Signature Verification using Time Warp Edit Distance based kernelSarojit Auddya, Rajat Kumar Singh, Suresh Sundaram. 319-324 [doi]
• Extension of a bi-dimensional grammar for online interpretation of structured documents: application on architecture plans and geometry domainsOmar Krichen, Nathalie Girard, Éric Anquetil. 325-330 [doi]
• Muscle activation profiles based on the proportionality hypothesis of the Kinematic Theory of Human MovementsBen Braithwaite, Réjean Plamondon, Mickaël Begon. 331-336 [doi]
• Graph Edit Distance for the analysis of children's on-line handwritten arithmetical operationsArnaud Lods, Éric Anquetil, Sébastien Macé. 337-342 [doi]
• Handwritten Chinese Characters Recognition Using Two-Stage Hierarchical Convolutional Neural NetworkNina Aleskerova, Aleksei Zhuravlev. 343-348 [doi]
• Unconstrained Handwritten Arabic Text-lines Segmentation based on AR2U-NetTakwa Ben Aïcha Gader, Afef Kacem Echi. 349-354 [doi]
• Online Handwritten Mathematical Symbol Segmentation and Recognition with Bidirectional ContextCuong Tuan Nguyen, Thanh-Nghia Truong, Quang Huy Ung, Masaki Nakagawa. 355-360 [doi]
• Transcription Alignment for Highly Fragmentary Historical Manuscripts: The Dead Sea ScrollsDaniel Stökl Ben Ezra, Bronson Brown-DeVost, Nachum Dershowitz, Alexey Pechorin, Benjamin Kiessling. 361-366 [doi]
• Signatures' stability evaluation in a multi-device scenarioDonato Impedovo, Giuseppe Pirlo, Lucia Sarcinella. 367-372 [doi]
• Attention based Writer Independent VerificationMohammad Abuzar Shaikh, Tiehang Duan, Mihir Chauhan, Sargur N. Srihari. 373-379 [doi]