Title : Detection and segmentation of touching handwritten Gurmukhi script

Type of Material: Thesis
Title: Detection and segmentation of touching handwritten Gurmukhi script
Researcher: Rajiv, Kumar
Guide: Singh, Amardeep
Department: University College of Engineering
Publisher: Punjabi University
Place: Patiala
Year: July, 2011
Language: English
Subject: Segmentation
Natural language
Automatic document processing
Character recognition
Optical character recognition (ocr)
Computer engineering
Dissertation/Thesis Note: PhD
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_261172
040__|aPJBI_147002|dIN-AhILN
041__|aeng
100__|aRajiv, Kumar|eResearcher
110__|aUniversity College of Engineering|bPunjabi University|dPatiala
245__|aDetection and segmentation of touching handwritten Gurmukhi script
260__|aPatiala|bPunjabi University|cJuly, 2011
502__|bPhD
518__|oDate of Notification|d2011-07
520__|aThe scanned image of the text is not of any use for user, because that image is not editable. One can not make any change if required to the scanned document. This provides a food for thought for the theory of optical character recognition (OCR). OCR is
653__|aSegmentation
653__|aNatural language
653__|aAutomatic document processing
653__|aCharacter recognition
653__|aOptical character recognition (ocr)
653__|aComputer engineering
700__|aSingh, Amardeep|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/4448|yShodhganga
905__|anotification

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