Abstract is missing.
- A Few Shot Multi-representation Approach for N-Gram Spotting in Historical ManuscriptsGiuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui, Asma Bensalah, Josep Lladós 0001, Alicia Fornés, Angelo Marcelli. 3-17 [doi]
- Text Edges Guided Network for Historical Document Super ResolutionBoraq Madi, Reem Alaasam, Jihad El-Sana. 18-33 [doi]
- CurT: End-to-End Text Line Detection in Historical Documents with TransformersBenjamin Kiessling. 34-48 [doi]
- Date Recognition in Historical Parish RecordsLaura Cabello Piqueras, Constanza Fierro, Jonas F. Lotz, Phillip Rust, Joen Rommedahl, Jeppe Klok Due, Christian Igel, Desmond Elliott, Carsten B. Pedersen, Israfel Salazar, Anders Søgaard. 49-64 [doi]
- Improving Isolated Glyph Classification Task for Palm Leaf ManuscriptsNimol Thuon, Jun Du, Jianshu Zhang. 65-79 [doi]
- Impact of Type of Convolution Operation on Performance of Convolutional Neural Networks for Online Signature VerificationChandra Sekhar Vorugunti, Balasubramanian Subramanian, Avinash Gautam, Viswanath Pulabaigari. 83-97 [doi]
- COMPOSV++: Light Weight Online Signature Verification Framework Through Compound Feature Extraction and Few-Shot LearningChandra Sekhar Vorugunti, Balasubramanian Subramanian, Prerana Mukherjee, Avinash Gautam. 98-111 [doi]
- Finger-Touch Direction Feature Using a Frequency Distribution in the Writer Verification Base on Finger-Writing of a Simple SymbolIsao Nakanishi, Masaya Yamazaki, Takahiro Horiuchi. 112-121 [doi]
- Self-supervised Vision Transformers with Data Augmentation Strategies Using Morphological Operations for Writer RetrievalMarco Peer, Florian Kleber, Robert Sablatnig. 122-136 [doi]
- EAU-Net: A New Edge-Attention Based U-Net for Nationality IdentificationAritro Pal Choudhury, Palaiahnakote Shivakumara, Umapada Pal 0001, Cheng-Lin Liu. 137-152 [doi]
- Progressive Multitask Learning Network for Online Chinese Signature Segmentation and RecognitionXunhui Qin, Hanyue Zhang, Xiao Ke, Zhonghao Shen, Songmao Qi, Ke Liu. 153-167 [doi]
- Musigraph: Optical Music Recognition Through Object Detection and Graph Neural NetworkArnau Baró, Pau Riba, Alicia Fornés. 171-184 [doi]
- Combining CNN and Transformer as Encoder to Improve End-to-End Handwritten Mathematical Expression Recognition AccuracyZhang Zhang, Yibo Zhang. 185-197 [doi]
- A Vision Transformer Based Scene Text Recognizer with Multi-grained Encoding and DecodingZhi Qiao, Zhilong Ji, Ye Yuan, Jinfeng Bai. 198-212 [doi]
- Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offline Handwritten Mathematical Expression RecognitionZihao Lin, Jinrong Li, Fan Yang, Shuangping Huang, Xu Yang, Jianmin Lin, Ming Yang. 213-227 [doi]
- FPRNet: End-to-End Full-Page Recognition Model for Handwritten Chinese EssayTonghua Su, Hongming You, Shuchen Liu, Zhongjie Wang. 231-244 [doi]
- Active Transfer Learning for Handwriting RecognitionEric Burdett, Stanley Fujimoto, Timothy Brown, Ammon Shurtz, Daniel Segrera, Lawry Sorenson, Mark J. Clement, Joseph Price. 245-258 [doi]
- Recognition-Free Question Answering on Handwritten Document CollectionsOliver Tüselmann, Friedrich Müller, Fabian Wolf, Gernot A. Fink. 259-273 [doi]
- Handwriting Recognition and Automatic Scoring for Descriptive Answers in Japanese Language TestsHung Tuan Nguyen, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Masaki Nakagawa. 274-284 [doi]
- A Weighted Combination of Semantic and Syntactic Word Image RepresentationsOliver Tüselmann, Kai Brandenbusch, Miao Chen, Gernot A. Fink. 285-299 [doi]
- Combining Self-training and Minimal Annotations for Handwritten Word RecognitionFabian Wolf, Gernot A. Fink. 300-315 [doi]
- Script-Level Word Sample Augmentation for Few-Shot Handwritten Text RecognitionWei Chen, Xiangdong Su, Haoran Zhang. 316-330 [doi]
- Towards Understanding and Improving Handwriting with AISuman Bhoi, Suman Sourav. 331-344 [doi]
- ChaCo: Character Contrastive Learning for Handwritten Text RecognitionXiaoyi Zhang, Tianwei Wang, Jiapeng Wang, Lianwen Jin, Canjie Luo, Yang Xue 0001. 345-359 [doi]
- Enhancing Indic Handwritten Text Recognition Using Global Semantic InformationAjoy Mondal, C. V. Jawahar. 360-374 [doi]
- Yi Characters Online Handwriting Recognition Models Based on Recurrent Neural Network: RnnNet-Yi and ParallelRnnNet-YiZhixin Yin, Shanxiong Chen, Dingwang Wang, Xihua Peng, Jun Zhou. 375-388 [doi]
- Self-attention Networks for Non-recurrent Handwritten Text RecognitionRafael d'Arce, Terence J. T. Norton, Sion Hannuna, Nello Cristianini. 389-403 [doi]
- An Efficient Prototype-Based Model for Handwritten Text Recognition with Multi-loss FusionMing-Ming Yu, Heng Zhang, Fei Yin, Cheng-Lin Liu. 404-418 [doi]
- Urdu Handwritten Ligature Generation Using Generative Adversarial Networks (GANs)Marium Sharif, Adnan Ul-Hasan, Faisal Shafait. 421-435 [doi]
- SCUT-CAB: A New Benchmark Dataset of Ancient Chinese Books with Complex Layouts for Document Layout AnalysisHiuyi Cheng, Cheng Jian, Sihang Wu, Lianwen Jin. 436-451 [doi]
- A Benchmark Gurmukhi Handwritten Character Dataset: Acquisition, Compilation, and RecognitionKanwaljit Kaur, Bidyut Baran Chaudhuri, Gurpreet Singh Lehal. 452-467 [doi]
- Synthetic Data Generation for Semantic Segmentation of Lecture VideosKenny Davila, Fei Xu, James Molina, Srirangaraj Setlur, Venu Govindaraju. 468-483 [doi]
- Generating Synthetic Styled Chu Nom CharactersJonas Diesbach, Andreas Fischer 0002, Marc Bui, Anna Scius-Bertrand. 484-497 [doi]
- UOHTD: Urdu Offline Handwritten Text DatasetAftab Rafique, M. Ishtiaq. 498-511 [doi]
- DAZeTD: Deep Analysis of Zones in Torn DocumentsChandranath Adak, Priyanshi Sharma, Sukalpa Chanda. 515-529 [doi]
- CNN-Based Ruled Line Removal in Handwritten DocumentsChristian Gold, Torsten Zesch. 530-544 [doi]
- Complex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based AugmentationBangdong Chen, Dezhi Peng, Jiaxin Zhang 0003, Yujin Ren, Lianwen Jin. 545-561 [doi]