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ORCID17th ICFHR 2020: Dortmund, Germany
- 17th International Conference on Frontiers in Handwriting Recognition, ICFHR 2020, Dortmund, Germany, September 8-10, 2020. IEEE 2020, ISBN 978-1-7281-9966-5
Machine Learning I
- Ming-Chao Xu, Fei Yin, Cheng-Lin Liu:
SRR-GAN: Super-Resolution based Recognition with GAN for Low-Resolved Text Images. 1-6 - Grigoris Bastas, Kosmas Kritsis
, Vassilis Katsouros:
Air-Writing Recognition using Deep Convolutional and Recurrent Neural Network Architectures. 7-12 - Mahya Ameryan, Lambert Schomaker:
Improving the robustness of LSTMs for word classification using stressed word endings in dual-state word-beam search. 13-18 - Denis Coquenet, Clément Chatelain, Thierry Paquet:
Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network. 19-24 - José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos:
Improving offline HTR in small datasets by purging unreliable labels. 25-30
Document Processing and Retrieval
- Weihong Ma, Hesuo Zhang, Lianwen Jin, Sihang Wu, Jiapeng Wang, Yongpan Wang:
Joint Layout Analysis, Character Detection and Recognition for Historical Document Digitization. 31-36 - Augusto César Monteiro Silva, Nina S. T. Hirata, Xiaoyi Jiang:
Skeletal Similarity based Structural Performance Evaluation for Document Binarization. 37-42 - Eugen Rusakov, Turna Somel, Gernot A. Fink, Gerfrid G. W. Müller:
Towards Query-by-eXpression Retrieval of Cuneiform Signs. 43-48 - Tomas Wilkinson, Carl Nettelblad:
Bootstrapping Weakly Supervised Segmentation-free Word Spotting through HMM-based Alignment. 49-54 - Oliver Tüselmann, Fabian Wolf, Gernot A. Fink:
Identifying and Tackling Key Challenges in Semantic Word Spotting. 55-60 - Fabian Wolf, Kai Brandenbusch, Gernot A. Fink:
Improving Handwritten Word Synthesis for Annotation-free Word Spotting. 61-66
Historical Documents
- Hans J. G. A. Dolfing, Jerome R. Bellegarda, Jan Chorowski, Ricard Marxer, Antoine Laurent:
The "ScribbleLens" Dutch Historical Handwriting Corpus. 67-72 - Dona Valy, Michel Verleysen, Sophea Chhun:
Data Augmentation and Text Recognition on Khmer Historical Manuscripts. 73-78 - Emanuela Boros, Verónica Romero, Martin Maarand, Katerina Zenklová, Jitka Krecková, Enrique Vidal, Dominique Stutzmann, Christopher Kermorvant:
A comparison of sequential and combined approaches for named entity recognition in a corpus of handwritten medieval charters. 79-84 - Enrique Vidal, Verónica Romero, Alejandro H. Toselli, Joan-Andreu Sánchez, Vicente Bosch, Lorenzo Quirós, José-Miguel Benedí, José Ramón Prieto, Moisés Pastor, Francisco Casacuberta, Carlos Alonso, Carmen García, Lourdes Márquez, Carmen Orcero:
The Carabela Project and Manuscript Collection: Large-Scale Probabilistic Indexing and Content-based Classification. 85-90 - Tom Monnier, Mathieu Aubry:
docExtractor: An off-the-shelf historical document element extraction. 91-96 - Ayumu Nagai:
Recognizing Japanese Historical Cursive with Pseudo-Labeling-aided CRNN as an Application of Semi-Supervised Learning to Sequence Labeling. 97-102
Text Recognition and Authentication
- Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida:
Handwriting Prediction Considering Inter-Class Bifurcation Structures. 103-108 - Keisuke Kanda, Brian Kenji Iwana, Seiichi Uchida:
What is the Reward for Handwriting? - A Handwriting Generation Model Based on Imitation Learning. 109-114 - Momina Moetesum, Imran Siddiqi, Farah Javed, Uzma Masroor:
Dynamic Handwriting Analysis for Parkinson's Disease Identification using C-BiGRU Model. 115-120 - Sounak Ray, Addrish Roy, Suresh Sundaram:
A Deep Learning Framework with Histogram Features for Online Writer Identification. 121-126 - Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
A Semantic Segmentation-based Method for Handwritten Japanese Text Recognition. 127-132 - Wenping Hu, Yikang Luo, Ji Meng, Zifei Qian, Qiang Huo:
A Study of BPE-based Language Modeling for Open Vocabulary Latin Language OCR. 133-138
Machine Learning II
- Lei Kang, Pau Riba, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas:
Distilling Content from Style for Handwritten Word Recognition. 139-144 - Gundram Leifert, Roger Labahn, Joan-Andreu Sánchez:
Two Semi-Supervised Training Approaches for Automated Text Recognition. 145-150 - Mingyang Guan, Haisong Ding, Kai Chen, Qiang Huo:
Improving Handwritten OCR with Augmented Text Line Images Synthesized from Online Handwriting Samples by Style-Conditioned GAN. 151-156 - Zhen-Xing Wang, Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Weakly Supervised Learning for Over-Segmentation Based Handwritten Chinese Text Recognition. 157-162 - Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa:
Attention Augmented Convolutional Recurrent Network for Handwritten Japanese Text Recognition. 163-168 - Tayaba Anjum, Nazar Khan:
An attention based method for offline handwritten Urdu text recognition. 169-174
Mathematics and Music Recognition
- Zhe Li, Lianwen Jin, Songxuan Lai, Yecheng Zhu:
Improving Attention-Based Handwritten Mathematical Expression Recognition with Scale Augmentation and Drop Attention. 175-180 - Thanh-Nghia Truong, Cuong Tuan Nguyen, Khanh Minh Phan, Masaki Nakagawa:
Improvement of End-to-End Offline Handwritten Mathematical Expression Recognition by Weakly Supervised Learning. 181-186 - Christoph Wick, Alexander Hartelt, Frank Puppe:
Lyrics Recognition and Syllable Assignment of Medieval Music Manuscripts. 187-192 - Antonio Ríos-Vila, Jorge Calvo-Zaragoza, José M. Iñesta:
Exploring the two-dimensional nature of music notation for score recognition with end-to-end approaches. 193-198 - Manuel Villarreal, Joan-Andreu Sánchez:
Handwritten Music Recognition Improvement through Language Model Re-interpretation for Mensural Notation. 199-204 - Arnau Baró, Carles Badal, Alicia Fornés:
Handwritten Historical Music Recognition by Sequence-to-Sequence with Attention Mechanism. 205-210
Competitions
- Da-Han Wang, Fei Yin, Jin-Wen Wu, Yu-Pei Yan, Zhicai Huang, Gui-Yun Chen, Yao Wang, Cheng-Lin Liu:
ICFHR 2020 Competition on Offline Recognition and Spotting of Handwritten Mathematical Expressions - OffRaSHME. 211-215 - Mathias Seuret, Anguelos Nicolaou, Andreas Maier, Vincent Christlein, Dominique Stutzmann:
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments. 216-221 - Abhijit Das, Hemmaphan Suwanwiwat, Umapada Pal, Michael Blumenstein:
ICFHR 2020 Competition on Short answer ASsessment and Thai student SIGnature and Name COMponents Recognition and Verification (SASIGCOM 2020). 222-227
Posters
- Irina Rabaev, Berat Kurar Barakat, Alexander Churkin, Jihad El-Sana:
The HHD Dataset. 228-233 - Mohammad Idrees Bhat, B. Sharada, Sk Md Obaidullah, Mohammad Imran:
Towards Accurate Identification and Removal of Shirorekha from Off-line Handwritten Devanagari word Documents. 234-239 - Ahmad Droby, Berat Kurar Barakat, Boraq Madi, Reem Alaasam, Jihad El-Sana:
Unsupervised Deep Learning for Handwritten Page Segmentation. 240-245 - Bartosz Bogacz, Hubert Mara:
Period Classification of 3D Cuneiform Tablets with Geometric Neural Networks. 246-251 - Christian Gold, Torsten Zesch:
Exploring the Impact of Handwriting Recognition on the Automated Scoring of Handwritten Student Answers. 252-257 - José Ramón Prieto, Vicente Bosch, Enrique Vidal, Dominique Stutzmann, Sébastien Hamel:
Text Content Based Layout Analysis. 258-263 - Yoko Seki:
Collection of Online and Offline Handwritten Japanese Charcters and Handwriting Classification Using the Data. 264-269 - Simon Corbillé, Élisa Fromont, Éric Anquetil, Pauline Nerdeux:
Integrating Writing Dynamics in CNN for Online Children Handwriting Recognition. 270-275 - Serhii Polotskyi, Olga Radyvonenko, Illya Degtyarenko, Ivan Deriuga:
Spatio-temporal Clustering for Grouping in Online Handwriting Document Layout Analysis with GRU-RNN. 276-281 - Yecheng Zhu, Songxuan Lai, Zhe Li, Lianwen Jin:
Point-to-Set Similarity Based Deep Metric Learning for Offline Signature Verification. 282-287 - Zheng-Yu Zhu, Fei Yin, Da-Han Wang:
Attention Combination of Sequence Models for Handwritten Chinese Text Recognition. 288-294 - Mohamad Wehbi, Tim Hamann, Jens Barth, Bjoern M. Eskofier:
Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer. 295-300 - Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabás Póczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu:
Robust Handwriting Recognition with Limited and Noisy Data. 301-306 - Trung Tan Ngo, Cuong Tuan Nguyen, Masaki Nakagawa:
A Siamese Network-based Approach For Matching Various Sizes Of Excavated Wooden Fragments. 307-312 - Benjamin Kiessling:
A Modular Region and Text Line Layout Analysis System. 313-318 - Sarojit Auddya, Rajat Kumar Singh, Suresh Sundaram:
Online Signature Verification using Time Warp Edit Distance based kernel. 319-324 - Omar Krichen, Nathalie Girard, Éric Anquetil:
Extension of a bi-dimensional grammar for online interpretation of structured documents: application on architecture plans and geometry domains. 325-330 - Ben Braithwaite, Réjean Plamondon, Mickaël Begon:
Muscle activation profiles based on the proportionality hypothesis of the Kinematic Theory of Human Movements. 331-336 - Arnaud Lods, Éric Anquetil, Sébastien Macé:
Graph Edit Distance for the analysis of children's on-line handwritten arithmetical operations. 337-342 - Nina Aleskerova, Aleksei Zhuravlev:
Handwritten Chinese Characters Recognition Using Two-Stage Hierarchical Convolutional Neural Network. 343-348 - Takwa Ben Aïcha Gader, Afef Kacem Echi:
Unconstrained Handwritten Arabic Text-lines Segmentation based on AR2U-Net. 349-354 - Cuong Tuan Nguyen, Thanh-Nghia Truong, Quang Huy Ung, Masaki Nakagawa:
Online Handwritten Mathematical Symbol Segmentation and Recognition with Bidirectional Context. 355-360 - Daniel Stökl Ben Ezra, Bronson Brown-DeVost, Nachum Dershowitz, Alexey Pechorin, Benjamin Kiessling:
Transcription Alignment for Highly Fragmentary Historical Manuscripts: The Dead Sea Scrolls. 361-366 - Donato Impedovo, Giuseppe Pirlo, Lucia Sarcinella:
Signatures' stability evaluation in a multi-device scenario. 367-372 - Mohammad Abuzar Shaikh, Tiehang Duan, Mihir Chauhan, Sargur N. Srihari:
Attention based Writer Independent Verification. 373-379
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