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An unconstrained handwriting recognition system
2002
International Journal on Document Analysis and Recognition
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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
2019
SN Computer Science
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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
2009
Proceedings of the 27th international conference on Human factors in computing systems - CHI 09
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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
2021
International Journal of Biometrics (IJBM)
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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
2013
2013 12th International Conference on Document Analysis and Recognition
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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]
2019
arXiv
pre-print
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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
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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
2010
2010 Chinese Conference on Pattern Recognition (CCPR)
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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
2015
EURASIP Journal on Image and Video Processing
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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
2010
2010 12th International Conference on Frontiers in Handwriting Recognition
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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]
1997
Lecture Notes in Computer Science
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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
English
2014
International Journal of Computer Trends and Technology
English
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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
2009
2009 15th International Conference on Virtual Systems and Multimedia
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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
2005
Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
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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
2008
Document Recognition and Retrieval XV
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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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