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A Hybrid NN/HMM Modeling Technique for Online Arabic Handwriting Recognition
[article]
2014
arXiv
pre-print
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In this work we propose a hybrid NN/HMM model for online Arabic handwriting recognition. ...
online Arabic systems.8 ...
We then introduce our hybrid approach for online Arabic handwriting recognition. ...
arXiv:1401.0486v1
fatcat:rguv2fstknhhldd5nkb3f7jcba
Automated Handwriting Recognition and Speech Synthesizer for Indigenous Language Processing
2022
Computers Materials & Continua
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Arabic handwritten Character Recognition (HCR) is a crucial process in optical character recognition. ...
The presented CLDL-THRSS model involves two stages of operations namely automated handwriting recognition and speech recognition. ...
[12] proposed an automated handwriting recognition technique for Arabic language. ...
doi:10.32604/cmc.2022.026531
fatcat:usfzjwsrjbdslnwuo7u5mp7nai
Confidence- and margin-based MMI/MPE discriminative training for off-line handwriting recognition
2011
International Journal on Document Analysis and Recognition
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We present a novel confidence-and marginbased discriminative training approach for model adaptation of a hidden Markov model (HMM) based handwriting recognition system to handle different handwriting styles ...
The proposed methods are evaluated for closedvocabulary isolated handwritten word recognition on the IFN/ENIT Arabic handwriting database, where the word-error-rate is decreased by 33% relative compared ...
We would like to thank David Rybach and Christian Gollan for their support. This work was partly realized as part of the Quaero Programme, funded by OSEO, French State agency for innovation. ...
doi:10.1007/s10032-011-0160-x
fatcat:ese6aigffnealbdlei5sumivny
Recognition of Online Handwritten Gurmukhi Strokes Using Support Vector Machine
[chapter]
2012
Advances in Intelligent Systems and Computing
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Online handwriting recognition systems are expected to exhibit better performance than offline handwriting recognition systems. ...
Online handwriting recognition contains both temporal stroke information and spatial shape information. ...
In this work, one hundred different Gurmukhi handwritten data sets have been used for grading the handwriting. They have used k-NN, HMM and Bayesian decision making classifiers for classification. ...
doi:10.1007/978-81-322-1038-2_42
fatcat:xsccalurk5evblklynyh6i76pm
Automatic processing of handwritten bank cheque images: a survey
2011
International Journal on Document Analysis and Recognition
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The paper has a comprehensive bibliography of many references as a support for researchers working in the field of automatic bank cheque processing. ...
To the best of our knowledge, there is no survey in the area of automatic cheque processing, and there is a need of such a survey to know the state of the art. ...
for Young Scientists (SR/FTP/ETA-58/2007). ...
doi:10.1007/s10032-011-0170-8
fatcat:kmrv6tqtbzbolks7pwmg3juqeu
Modeling and training options for handwritten Arabic text recognition
2017
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We experimented the presented modeling techniques for handwritten Arabic text recognition on a benchmark handwritten Arabic text database. ...
Arabic text recognition research starting relatively later as compared to text recognition research in other scripts like Roman and Chinese benefited from the techniques developed for other scripts. ...
(Hu, Gek Lim, and Brown 2000) presented sub-character HMMs for online handwriting recognition of isolated digits, characters, and words. ...
doi:10.17877/de290r-17923
fatcat:6phbwzcoffbvdl4lo3novlxtw4