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ORCID18th ICFHR 2022: Hyderabad, India
- Utkarsh Porwal, Alicia Fornés
, Faisal Shafait:
Frontiers in Handwriting Recognition - 18th International Conference, ICFHR 2022, Hyderabad, India, December 4-7, 2022, Proceedings. Lecture Notes in Computer Science 13639, Springer 2022, ISBN 978-3-031-21647-3
Historical Document Processing
- Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui, Asma Bensalah, Josep Lladós, Alicia Fornés, Angelo Marcelli:
A Few Shot Multi-representation Approach for N-Gram Spotting in Historical Manuscripts. 3-17 - Boraq Madi, Reem Alaasam, Jihad El-Sana:
Text Edges Guided Network for Historical Document Super Resolution. 18-33 - Benjamin Kiessling:
CurT: End-to-End Text Line Detection in Historical Documents with Transformers. 34-48 - Laura Cabello Piqueras, Constanza Fierro, Jonas F. Lotz, Phillip Rust, Joen Rommedahl, Jeppe Klok Due, Christian Igel, Desmond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:
Date Recognition in Historical Parish Records. 49-64 - Nimol Thuon, Jun Du, Jianshu Zhang:
Improving Isolated Glyph Classification Task for Palm Leaf Manuscripts. 65-79
Signature Verification and Writer Identification
- Chandra Sekhar Vorugunti, Balasubramanian Subramanian, Avinash Gautam, Viswanath Pulabaigari:
Impact of Type of Convolution Operation on Performance of Convolutional Neural Networks for Online Signature Verification. 83-97 - Chandra Sekhar Vorugunti, Balasubramanian Subramanian, Prerana Mukherjee, Avinash Gautam:
COMPOSV++: Light Weight Online Signature Verification Framework Through Compound Feature Extraction and Few-Shot Learning. 98-111 - Isao Nakanishi, Masaya Yamazaki, Takahiro Horiuchi:
Finger-Touch Direction Feature Using a Frequency Distribution in the Writer Verification Base on Finger-Writing of a Simple Symbol. 112-121 - Marco Peer, Florian Kleber, Robert Sablatnig:
Self-supervised Vision Transformers with Data Augmentation Strategies Using Morphological Operations for Writer Retrieval. 122-136 - Aritro Pal Choudhury, Palaiahnakote Shivakumara, Umapada Pal, Cheng-Lin Liu:
EAU-Net: A New Edge-Attention Based U-Net for Nationality Identification. 137-152 - Xunhui Qin, Hanyue Zhang, Xiao Ke, Zhonghao Shen, Songmao Qi, Ke Liu:
Progressive Multitask Learning Network for Online Chinese Signature Segmentation and Recognition. 153-167
Symbol and Graphics Recognition
- Arnau Baró, Pau Riba, Alicia Fornés:
Musigraph: Optical Music Recognition Through Object Detection and Graph Neural Network. 171-184 - Zhang Zhang, Yibo Zhang:
Combining CNN and Transformer as Encoder to Improve End-to-End Handwritten Mathematical Expression Recognition Accuracy. 185-197 - Zhi Qiao, Zhilong Ji, Ye Yuan, Jinfeng Bai:
A Vision Transformer Based Scene Text Recognizer with Multi-grained Encoding and Decoding. 198-212 - Zihao Lin, Jinrong Li, Fan Yang, Shuangping Huang, Xu Yang, Jianmin Lin, Ming Yang:
Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offline Handwritten Mathematical Expression Recognition. 213-227
Handwriting Recognition and Understanding
- Tonghua Su, Hongming You, Shuchen Liu, Zhongjie Wang:
FPRNet: End-to-End Full-Page Recognition Model for Handwritten Chinese Essay. 231-244 - Eric Burdett, Stanley Fujimoto, Timothy Brown, Ammon Shurtz, Daniel Segrera, Lawry Sorenson, Mark J. Clement, Joseph Price:
Active Transfer Learning for Handwriting Recognition. 245-258 - Oliver Tüselmann, Friedrich Müller, Fabian Wolf, Gernot A. Fink:
Recognition-Free Question Answering on Handwritten Document Collections. 259-273 - Hung Tuan Nguyen, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Masaki Nakagawa:
Handwriting Recognition and Automatic Scoring for Descriptive Answers in Japanese Language Tests. 274-284 - Oliver Tüselmann, Kai Brandenbusch, Miao Chen, Gernot A. Fink:
A Weighted Combination of Semantic and Syntactic Word Image Representations. 285-299 - Fabian Wolf, Gernot A. Fink:
Combining Self-training and Minimal Annotations for Handwritten Word Recognition. 300-315 - Wei Chen, Xiangdong Su, Haoran Zhang:
Script-Level Word Sample Augmentation for Few-Shot Handwritten Text Recognition. 316-330 - Suman Bhoi, Suman Sourav:
Towards Understanding and Improving Handwriting with AI. 331-344 - Xiaoyi Zhang, Tianwei Wang, Jiapeng Wang, Lianwen Jin, Canjie Luo, Yang Xue:
ChaCo: Character Contrastive Learning for Handwritten Text Recognition. 345-359 - Ajoy Mondal, C. V. Jawahar:
Enhancing Indic Handwritten Text Recognition Using Global Semantic Information. 360-374 - Zhixin Yin, Shanxiong Chen, Dingwang Wang, Xihua Peng, Jun Zhou:
Yi Characters Online Handwriting Recognition Models Based on Recurrent Neural Network: RnnNet-Yi and ParallelRnnNet-Yi. 375-388 - Rafael d'Arce, Terence J. T. Norton, Sion Hannuna, Nello Cristianini:
Self-attention Networks for Non-recurrent Handwritten Text Recognition. 389-403 - Mingming Yu, Heng Zhang, Fei Yin, Cheng-Lin Liu:
An Efficient Prototype-Based Model for Handwritten Text Recognition with Multi-loss Fusion. 404-418
Handwriting Datasets and Synthetic Handwriting Generation
- Marium Sharif, Adnan Ul-Hasan, Faisal Shafait:
Urdu Handwritten Ligature Generation Using Generative Adversarial Networks (GANs). 421-435 - Hiuyi Cheng, Cheng Jian, Sihang Wu, Lianwen Jin:
SCUT-CAB: A New Benchmark Dataset of Ancient Chinese Books with Complex Layouts for Document Layout Analysis. 436-451 - Kanwaljit Kaur, Bidyut Baran Chaudhuri, Gurpreet Singh Lehal:
A Benchmark Gurmukhi Handwritten Character Dataset: Acquisition, Compilation, and Recognition. 452-467 - Kenny Davila, Fei Xu, James Molina, Srirangaraj Setlur, Venu Govindaraju:
Synthetic Data Generation for Semantic Segmentation of Lecture Videos. 468-483 - Jonas Diesbach, Andreas Fischer, Marc Bui, Anna Scius-Bertrand:
Generating Synthetic Styled Chu Nom Characters. 484-497 - Aftab Rafique, M. Ishtiaq:
UOHTD: Urdu Offline Handwritten Text Dataset. 498-511
Document Analysis and Processing
- Chandranath Adak, Priyanshi Sharma, Sukalpa Chanda:
DAZeTD: Deep Analysis of Zones in Torn Documents. 515-529 - Christian Gold, Torsten Zesch:
CNN-Based Ruled Line Removal in Handwritten Documents. 530-544 - Bangdong Chen, Dezhi Peng, Jiaxin Zhang, Yujin Ren, Lianwen Jin:
Complex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based Augmentation. 545-561
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