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An unconstrained handwriting recognition system

E. Kavallieratou, N. Fakotakis, G. Kokkinakis
2002 International Journal on Document Analysis and Recognition  
In this paper, an integrated offline recognition system for unconstrained handwriting is presented.  ...  and recognition, stemming from the implementation of already existing algorithms as well as novel algorithms.  ...  In this paper, an integrated offline recognition system for unconstrained handwriting is presented.  ... 
doi:10.1007/s100320200079 fatcat:m3cv5ajkbjcopdvfqzcxxpmmte

An End-to-End Recognition System for Unconstrained Vietnamese Handwriting

Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa
2019 SN Computer Science  
This result is higher than our previous system, Nguyen et al.'s system, and the system provided by Google in the Vietnamese Online Handwritten Text Recognition competition.  ...  The LSTM-based decoder with an attention model incorporated generates output text.  ...  handwriting recognition systems.  ... 
doi:10.1007/s42979-019-0001-4 fatcat:zniv2vuy3zcirb37b6zput6gvq

Text entry performance of state of the art unconstrained handwriting recognition

Per Ola Kristensson, Leif C. Denby
2009 Proceedings of the 27th international conference on Human factors in computing systems - CHI 09  
We report on a longitudinal study of unconstrained handwriting recognition performance. After 250 minutes of practice, participants had a mean text entry rate of 24.1 wpm.  ...  For the first four hours of usage, entry and error rates of handwriting recognition are about the same as for a baseline QWERTY software keyboard.  ...  Interestingly, ignoring the problem of recognition errors, the text entry rate for unconstrained handwriting recognition has remained an open issue.  ... 
doi:10.1145/1518701.1518788 dblp:conf/chi/KristenssonD09 fatcat:trhexgn5unbyvprxpozpjg3r5m

Unconstrained online handwritten Uyghur word recognition based on recurrent neural networks and connectionist temporal classification

Mayire Ibrayim, Wujiahematiti Simayi, Askar Hamdulla
2021 International Journal of Biometrics (IJBM)  
system.  ...  This paper conducts the first experiments applying recurrent neural networks-RNN accompanied with connectionist temporal classification (CTC) to build end-to-end online Uyghur handwriting word recognition  ...  The second author is grateful to National Laboratory of Pattern Recognition of CASIA (Institute of Automation, Chinese Academy of Sciences) for providing the excellent study and experiment environment.  ... 
doi:10.1504/ijbm.2021.112216 fatcat:js2wjem7hzes3bqugxjf6qinfe

Open Vocabulary Arabic Handwriting Recognition Using Morphological Decomposition

Mahdi Hamdani, Amr El-Desoky Mousa, Hermann Ney
2013 2013 12th International Conference on Document Analysis and Recognition  
The use of Language Models (LMs) is a very important component in large and open vocabulary recognition systems. This paper presents an open-vocabulary approach for Arabic handwriting recognition.  ...  for the unconstrained one.  ...  This basic information concerning Arabic handwriting style has to be carefully handled to build an Arabic handwriting recognition system.  ... 
doi:10.1109/icdar.2013.63 dblp:conf/icdar/HamdaniMN13 fatcat:zwac2g4okfedpebwfmmg2kmz5i

End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting [article]

Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa
2019 arXiv   pre-print
This result is competitive with the handwriting recognition system provided by Google in the Vietnamese Online Handwritten Text Recognition competition.  ...  Inspired by recent successes in neural machine translation and image caption generation, we present an attention based encoder decoder model (AED) to recognize Vietnamese Handwritten Text.  ...  evaluating handwriting recognition systems.  ... 
arXiv:1905.05381v1 fatcat:7e7vqaaqevfzbpnbufhxr44kgy

Simplified Thai Script: On-line Handwriting Recognition Text Input Method for Thai

2010 The Journal of the Institute of Image Electronics Engineers of Japan  
Those systems allow user to write in unconstrained handwriting, which is convenient but users have found a lot of error in recognition.  ...  〈Summary〉 Most of current on-line handwriting recognition for Thai scripts systems is based on natural writing.  ...  Fig. 3 The various styles of unconstrained handwriting of "Hor Heep" In this study, we tried to develop a user-friendly handwriting recognition system which can deliver high accuracy rate and easy to  ... 
doi:10.11371/iieej.39.290 fatcat:hvc6afeuyjdtfl46s2gayrgnqi

Chinese Handwriting Recognition Contest 2010

Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang
2010 2010 Chinese Conference on Pattern Recognition (CCPR)  
CONCLUSION We report the recognition results of Chinese Handwriting Recognition Contest 2010 based on new generation of databases of unconstrained handwriting.  ...  This indicates a gap between computer handwriting recognition and human recognition, and an opportunity for research to improve the performance.  ... 
doi:10.1109/ccpr.2010.5659229 fatcat:x5y3nziyjve7nhvfebgatr56da

A comprehensive survey of handwritten document benchmarks: structure, usage and evaluation

Raashid Hussain, Ahsen Raza, Imran Siddiqi, Khurram Khurshid, Chawki Djeddi
2015 EURASIP Journal on Image and Video Processing  
database(s) for evaluation of their developed systems.  ...  Handwriting offers a number of interesting pattern classification problems including handwriting recognition, writer identification, signature verification, writer demographics classification and script  ...  The database has been employed in a number of Chinese character recognition systems [178] [179] [180] SCUT-COUCH2009: online unconstrained Chinese handwriting database The SCUT online handwriting Chinese  ... 
doi:10.1186/s13640-015-0102-5 fatcat:cvp7kv5vmrddnlrvudn5z4wnnm

SCUT-COUCH Textline_NU: An Unconstrained Online Handwritten Chinese Text Lines Dataset

Hanyu Yan, Lianwen Jin, Christian Viard-Gaudin, Harold Mouchere
2010 2010 12th International Conference on Frontiers in Handwriting Recognition  
An unconstrained online handwritten Chinese text lines dataset, SCUT-COUCH2009-TL, a subset of SCUT-COUCH [1], is built to facilitate the research of unconstrained online Chinese text recognition.  ...  To demonstrate that the dataset is practical, an over-segmentation, dynamic programming and semantic model based algorithm was presented for segmenting and recognizing the unconstrained online Chinese  ...  To support research on recognition of unconstrained online Chinese handwriting, we have built an unconstrained online handwritten Chinese text dataset, SCUT-COUCH2009-TL 1 .  ... 
doi:10.1109/icfhr.2010.123 dblp:conf/icfhr/YanJVM10 fatcat:q3sb2bmcgjbupjajjuiejhmug4

Combining high-level features with sequential local features for on-line handwriting recognition [chapter]

Jianying Hu, Amy S. Rosenthal, Michael K. Brown
1997 Lecture Notes in Computer Science  
We report experimental results on an HMM based recognizer for writer independent recognition of unconstrained handwritten words.  ...  In this paper we describe a new method for combining high-level long-range features and local features for on-line handwriting recognition.  ...  The first two local features are commonly used in many on-line handwriting recognition systems.  ... 
doi:10.1007/3-540-63508-4_179 fatcat:drkodvtrmrfkjmzfvkzrcjo7zi

A Study on Recognition of Handwritten Character Images

Shri Praveenkumar Katigar
2014 International Journal of Computer Trends and Technology  
This document deals with study on recognition of handwritten character images.  ...  Lam, Computer recognition of unconstrained handwritten numerals,  R. M. Brown, T. H. Fay, and C. L. Walker, Handprinted Symbol Recognition System, Pattern Recognition,  B. T. Mittchell and A. M.  ...  Handwriting styles could be constrained or unconstrained. Constrained handwriting is enclosed discrete and dispersed discrete nature.  ... 
doi:10.14445/22312803/ijctt-v12p124 fatcat:ys4iln7fc5btdc4pzmrzspkocq

Automatic Transcription of Handwritten Medieval Documents

Andreas Fischer, Markus Wuthrich, Marcus Liwicki, Volkmar Frinken, Horst Bunke, Gabriel Viehhauser, Michael Stolz
2009 2009 15th International Conference on Virtual Systems and Multimedia  
This is far above the word accuracy of 77.12% achieved with the same recognizers for unconstrained modern scripts written in English.  ...  These results encourage the development of real world systems for automatic transcription of historical documents with a view to image and text browsing in digital libraries.  ...  Furthermore, we thank Alex Graves of the TU Munich for providing us with an implementation of the neural networks.  ... 
doi:10.1109/vsmm.2009.26 fatcat:kj65rniirzbjzmhvqlllfrwdo4

On appearance-based feature extraction methods for writer-independent handwritten text recognition

G.A. Fink, T. Plotz
2005 Eighth International Conference on Document Analysis and Recognition (ICDAR'05)  
Most successful systems for the recognition of unconstrained handwriting currently rely on expert-crafted feature sets that compute local geometric properties from text images.  ...  system based on geometric features.  ...  like to thank the Institute of Informatics and Applied Mathematics, University of Bern, namely Horst Bunke and Urs-Viktor Marti, who allowed us to use the IAM database of handwritten forms [8] for our recognition  ... 
doi:10.1109/icdar.2005.172 dblp:conf/icdar/FinkP05 fatcat:a2ta5suqvvh3lkiqrmc3aeizlu

Word segmentation of off-line handwritten documents

Chen Huang, Sargur N. Srihari, Berrin A. Yanikoglu, Kathrin Berkner
2008 Document Recognition and Retrieval XV  
The system is evaluated using an unconstrained handwriting database, which contains 50 pages (1026 line, 7562 words images) handwritten documents.  ...  Word segmentation is the most critical pre-processing step for any handwritten document recognition/retrieval system.  ...  The system was evaluated using an unconstrained handwriting database. The system performance is better than the previous method. A further evaluation is being conducted to obtain a formal comparison.  ... 
doi:10.1117/12.767055 dblp:conf/drr/HuangS08 fatcat:4tp4te3b2rc7re6k2kkke6kzcy
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