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Hidden Markov Model based Character Segmentation Factor Applied to Urdu script
Shahid ABID1; Sohail ASGHAR2; Yan Zhuang3; Simon Fong3
2015
Conference Name6th International Conference on Applications of Digital Information and Web Technologies (ICADIWT)
Source PublicationFrontiers in Artificial Intelligence and Applications
Volume275
Pages39-51
Conference DateFEB 12, 2015
Conference PlaceUniv Macau, Macao, PEOPLES R CHINA
PublisherIOS PRESS, NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
Abstract

We have extracted and stored character features SCF from all character images. Extracted a feature from test image of Urdu text line, afterwards, taking a smaller sample calculated maximum likelihood to match it against each SCF in inference algorithm and continue until whole sample is consumed, revealing all the characters in it. The algorithm may reduce complexity using smaller dictionary of Urdu characters instead of using a very larger set of ligatures. This work can be used in problems like OCR system, number plate segmentation and postal address processing, form processing etc.

KeywordDocument Image Processing Hidden Markov Model (Hmm) Optical Character Recognition (Ocr) Segmentation Of Cursive Characters
DOIhttps://doi.org/10.3233/978-1-61499-503-6-39
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000360235300004
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Citation statistics
Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.University Institute of Information Technology, PirMehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
2.COMSATS Institute of Information Technology, Islamabad, Pakistam
3.Deparment of Computer and Information Science, University of Macau, Macau SAR
Recommended Citation
GB/T 7714
Shahid ABID,Sohail ASGHAR,Yan Zhuang,et al. Hidden Markov Model based Character Segmentation Factor Applied to Urdu script[C]:IOS PRESS, NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS,2015:39-51.
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