ICFHR 2022 Program

program outline

  • Each paper should be presented for 15 minutes.
  • Detailed instructions regarding presentation will be mailed to the authors.




Monday, 05 December 2022
ORAL SESSION 1- Conference Track
1.1 Generating synthetic styled Chu Nom characters
Jonas Diesbach, Andreas Fischer, Marc Bui, and Anna Scius-Bertrand
1.2 Synthetic Data Generation for Semantic Segmentation of Lecture Videos
Kenny Davila, Fei Xu, James Molina, Srirangaraj Setlur, and Venu Govindaraju
1.3 Enhancing Indic Handwritten Text Recognition using Global Semantic Information
Ajoy Mondal and C. V. Jawahar
1.4 Recognition-free Question Answering on Handwritten Document Collections
Oliver Tuselmann, Friedrich Muller, Fabian Wolf, and Gernot A. Fink
1.5 A Weighted Combination of Semantic and Syntactic Word Image Representations
Oliver Tüselmann, Kai Brandenbusch, Miao Chen and Gernot A. Fink
1.6 Combining Self-Training and Minimal Annotations for Handwritten Word Recognition
Fabian Wolf and Gernot A. Fink
1.7 Active Transfer Learning for Handwriting Recognition
Eric Burdett, Stanley Fujimoto, Timothy Brown, Ammon Shurtz, Daniel Segrera, Lawry Sorenson, Mark Clement, and Joseph Price
1.8 A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts
Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui, Asma Bensalah, Josep Llad´os, Alicia Fornes, and Angelo Marcelli
ORAL SESSION 2 – Journal Track
2.1 Combination of explicit segmentation with Seq2Seq recognition for fine analysis of children handwriting
Omar Krichen, Simon Corbillé, Éric Anquetil, Nathalie Girard, Élisa Fromont & Pauline Nerdeux
2.2 Character Spotting and Autonomous Tagging: Offline Handwriting Recognition for Bangla, Korean and other Alphabetic Scripts
Nishatul Majid & Elisa H. Barney Smith
2.3 Textline Alignment on The Image Domain
Boraq Madi, Ahmad Droby & Jihad El-Sana
2.4 A Survey of Historical Document Image Datasets
Konstantina Nikolaidou, Mathias Seuret, Hamam Mokayed & Marcus Liwicki

Tuesday, 06 December 2022
ORAL SESSION 3- Conference Track
3.1 DAZeTD: Deep Analysis of Zones in Torn Documents
Chandranath Adak, Priyanshi Sharma, and Sukalpa Chanda
3.2 CurT: End-to-End Text Line Detection in Historical Documents with Transformers
Benjamin Kiessling
3.3 Text Edges Guided Network for Historical Document Super Resolution
Boraq Madi, Reem Alaasam, and Jihad El-Sana
3.4 COMPOSV++: Light Weight Online Signature Verification Framework through Compound Feature Extraction and Few-shot Learning
Chandra Sekhar Vorugunti, Balsubramanian Subramanian, Prerana Mukherjee, and Avinash Gautam
3.5 Self-Supervised Vision Transformers with Data Augmentation Strategies using Morphological Operations for Writer Retrieval
Marco Peer, Florian Kleber, and Robert Sablatnig
3.6 Impact of Type of Convolution Operation on Performance of Convolutional Neural Networks for Online Signature Verification
Chandra Sekhar Vorugunti, Balasubramanian Subramanian, Avinash Gautam, and Viswanath Pulabaigari
3.7 A Benchmark Gurmukhi Handwritten Character Dataset: Acquisition, Compilation, and Recognition
Kanwaljit Kaur, Bidyut Baran Chaudhuri, and Gurpreet Singh Lehal
3.8 Towards understanding and improving handwriting with AI
Suman Bhoi and Suman Sourav
ORAL SESSION 4- Conference Track
4.1 An Efficient Prototype-based Model for Handwritten Text Recognition with Multi-loss Fusion
Ming-Ming Yu, Heng Zhang, Fei Yin, and Cheng-Lin Liu
4.2 ChaCo: Character Contrastive Learning for Handwritten Text Recognition
Xiaoyi Zhang, Tianwei Wang, Jiapeng Wang, Lianwen Jin, Canjie Luo and Yang Xue
4.3 A Vision Transformer based Scene Text Recognizer with Multi-Grained Encoding and Decoding
Zhi Qiao, Zhilong Ji, Ye Yuan, and Jinfeng Bai
4.4 Yi Characters Online Handwriting Recognition Models Based on Recurrent Neural Network: RnnNet-Yi and Parallel RnnNet-Yi
Zhixin Yin, Shanxiong Chen, Dingwang Wang, Xihua Peng, and Jun Zhou
4.5 Progressive Multitask Learning Network for Online Chinese Signature Segmentation and Recognition
Xunhui Qin, Hanyue Zhang, Xiao Ke, Zhonghao Shen, Songmao Qi, Ke Liu
4.6 Self-Attention Networks for Non-Recurrent Handwritten Text Recognition
Rafael d’Arce, Terence Norton, Sion Hannuna, and Nello Cristianini
4.7 Script-Level Word Sample Augmentation for Few-shot Handwritten Text Recognition
Wei Chen, Xiangdong Su, and Haoran Zhang
4.8 Improving Isolated Glyph Classification Task for Palm leaf Manuscripts
Nimol Thuon, Jun Du, and Jianshu Zhang
ORAL SESSION 5- Conference Track
5.1 CNN-based Ruled Line Removal in Handwritten Documents
Christian Gold and Torsten Zesch
5.2 SCUT-CAB: A New Benchmark Dataset of Ancient Chinese Books with Complex Layouts for Document Layout Analysis
Hiuyi Cheng, Cheng Jian, Sihang Wu, and Lianwen Jin
5.3 Complex Table Structure Recognition in the Wild using Transformer and Identity Matrix-based Augmentation
Bangdong Chen, Dezhi Peng, Jiaxin Zhang, Yujin Ren, and Lianwen Jin
5.4 Date Recognition in Historical Parish Records
Laura Cabello Piqueras, Constanza Fierro, Jonas F. Lotz, Phillip Rust, Joen Rommedahl, Jeppe Klok Due, Christian Igel, Desmond Elliott, Carsten B. Pedersen, Israfel Salazar, and Anders Søgaard

Wednesday, 07 December 2022
ORAL SESSION 6- Journal Track
6.1 Domain Adaptation for Staff-Region Retrieval of Music Score Images
Francisco J. Castellanos, Antonio Javier Gallego, Jorge Calvo-Zaragoza & Ichiro Fujinaga
6.2 A holistic approach for image-to-graph: Application to Optical Music Recognition
Carlos Garrido-Munoz, Antonio Rios-Vila & Jorge Calvo-Zaragoza
6.3 Conv-Transformer Architecture for Unconstrained Off-Line Urdu Handwriting Recognition
Nauman Riaz, Haziq Arbab, Arooba Maqsood, Khuzaeymah Nasir, Adnan Ul-Hasan & Faisal Shafait
6.4 Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens
Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl & Christopher Mutschler
6.5 BCBId: First Bangla Comic Dataset and its applications
Arpita Dutta, Samit Biswas & Amit Kumar Das
ORAL SESSION 7- Conference Track
7.1 Finger-Touch Direction Feature Using a Frequency Distribution in the Writer Verification Base on Finger-Writing of a Simple Symbol
Isao Nakanishi, Masaya Yamazaki, and Takahiro Horiuchi
7.2 EAU-Net: A New Edge-Attention based U-Net for Nationality Identification
Aritro Pal Choudhury, Palaiahnakote Shivakumara, Umapada Pal, and Cheng-Lin Liu
7.3 Urdu Handwritten Ligature Generation using Generative Adversarial Networks (GANs)
Marium Sharif, Adnan Ul-Hasan and Faisal Shafait
ORAL SESSION 8- Conference Track
8.1 Handwriting recognition and automatic scoring for descriptive answers in Japanese language tests
Hung Tuan Nguyen, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, and Masaki Nakagawa
8.2 Musigraph: Optical Music Recognition through Object Detection and Graph Neural Network
Arnau Baró, Pau Riba, and Alicia Fornes
8.3 Combining CNN and Transformer as Encoder to Improve End-to-end Handwritten Mathematical Expression Recognition Accuracy
Zhang Zhang and Yibo Zhang
8.4 Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offline Handwritten Mathematical Expression Recognition
Zihao Lin, Jinrong Li, Fan Yang, Shuangping Huang, Xu Yang, Jianmin Lin, and Ming Yang
8.5 FPRNet: End-to-end Full-page Recognition Model for Handwritten Chinese Essay
Tonghua Su, Hongming You, Shuchen Liu, and Zhongjie Wang
8.6 UOHTD: Urdu Offline Handwritten Text Dataset
Aftab Rafique and Muhmmad Ishtiaq