Abstract is missing.
- A Shallow Graph Neural Network with Innovative Node Updating for Online Handwritten Stroke ClassificationYan-Rong Wang, Da-Han Wang, Xiao-Long Yun, Yan-Ming Zhang, Fei Yin, Shunzhi Zhu. 3-19 [doi]
- Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic ModelHaisong Ding, Bozhi Luan, Dongnan Gui, Kai Chen 0001, Qiang Huo. 20-37 [doi]
- Improved Learning for Online Handwritten Chinese Text Recognition with Convolutional Prototype NetworkYi Chen, Heng Zhang, Cheng-Lin Liu. 38-53 [doi]
- Vision Conformer: Incorporating Convolutions into Vision Transformer LayersBrian Kenji Iwana, Akihiro Kusuda. 54-69 [doi]
- Modeling Cross-layer Interaction for Chinese Calligraphy Style ClassificationZhigang Li, Li Liu, Taorong Qiu, Yue Lu 0001, Ching Y. Suen. 70-84 [doi]
- Exploring Semantic Word Representations for Recognition-Free NLP on Handwritten Document ImagesOliver Tüselmann, Gernot A. Fink. 85-100 [doi]
- OCR Language Models with Custom VocabulariesPeter Garst, R. Reeve Ingle, Yasuhisa Fujii. 101-115 [doi]
- A Unified Architecture for Urdu Printed and Handwritten Text RecognitionArooba Maqsood, Nauman Riaz, Adnan Ul-Hasan, Faisal Shafait. 116-130 [doi]
- Sampling and Ranking for Digital Ink Generation on a Tight Computational BudgetAndrei Afonin, Andrii Maksai, Aleksandr Timofeev, Claudiu Musat. 131-146 [doi]
- Linguistic Knowledge Within Handwritten Text Recognition Models: A Real-World Case StudySamuel Londner, Yoav Phillips, Hadar Miller, Nachum Dershowitz, Tsvi Kuflik, Moshe Lavee. 147-164 [doi]
- Decoupled Learning for Long-Tailed Oracle Character RecognitionJing Li, Bin Dong, Qiu-Feng Wang, Lei Ding 0012, Rui Zhang, Kaizhu Huang. 165-181 [doi]
- Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-End Handwritten Document RecognitionDenis Coquenet, Clément Chatelain 0001, Thierry Paquet. 182-199 [doi]
- Shared-Operation Hypercomplex Networks for Handwritten Text RecognitionGiorgos Sfikas, George Retsinas, Panagiotis Dimitrakopoulos, Basilis Gatos, Christophoros Nikou. 200-216 [doi]
- DSS: Synthesizing Long Digital Ink Using Data Augmentation, Style Encoding and Split GenerationAleksandr Timofeev, Anastasiia Fadeeva, Andrei Afonin, Claudiu Musat, Andrii Maksai. 217-235 [doi]
- Precise Segmentation for Children Handwriting Analysis by Combining Multiple Deep Models with Online KnowledgeSimon Corbillé, Éric Anquetil, Élisa Fromont. 236-252 [doi]
- Fine-Tuning Vision Encoder-Decoder Transformers for Handwriting Text Recognition on Historical DocumentsDaniel Parres, Roberto Paredes. 253-268 [doi]
- Fine-Tuning is a Surprisingly Effective Domain Adaptation Baseline in Handwriting RecognitionJan Kohút, Michal Hradis. 269-286 [doi]
- Incremental Teacher Model with Mixed Augmentations and Scheduled Pseudo-label Loss for Handwritten Text RecognitionMasayuki Honda, Hung Tuan Nguyen, Cuong Tuan Nguyen, Kha Cong Nguyen, Ryosuke Odate, Takashi Kanemaru, Masaki Nakagawa. 287-301 [doi]
- AFFGANwriting: A Handwriting Image Generation Method Based on Multi-feature FusionHeng Wang, Yiming Wang, Hongxi Wei. 302-312 [doi]
- SeamFormer: High Precision Text Line Segmentation for Handwritten DocumentsNiharika Vadlamudi, Rahul Krishna, Ravi Kiran Sarvadevabhatla. 313-331 [doi]
- SegCTC: Offline Handwritten Chinese Text Recognition via Better Fusion Between Explicit and Implicit SegmentationJiarong Huang, Dezhi Peng, Hongliang Li, Hao Ni, Lianwen Jin. 332-349 [doi]
- Adversarial Attacks on Convolutional Siamese Signature Verification NetworksMaham Jahangir, Muhammad Imran Malik, Faisal Shafait. 350-365 [doi]
- A System for Processing and Recognition of Greek Byzantine and Post-Byzantine DocumentsPanagiotis Kaddas, Konstantinos Palaiologos, Basilis Gatos, Vassilis Katsouros, Katerina Christopoulou. 366-376 [doi]
- Towards Writing Style Adaptation in Handwriting RecognitionJan Kohút, Michal Hradis, Martin Kiss. 377-394 [doi]
- Historical Document Image Segmentation Combining Deep Learning and Gabor FeaturesMaroua Mehri, Akrem Sellami, Salvatore Tabbone. 395-410 [doi]
- Group, Contrast and Recognize: A Self-supervised Method for Chinese Character RecognitionXinzhe Jiang, Jun Du, Pengfei Hu, Mobai Xue, Jiefeng Ma, Jiajia Wu, Jianshu Zhang. 411-427 [doi]
- Content-Aware Urdu Handwriting GenerationZeeshan Memon, Adnan Ul-Hasan, Faisal Shafait. 428-444 [doi]
- Weakly Supervised Information Extraction from Inscrutable Handwritten Document ImagesSujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal. 445-463 [doi]