Thai font type recognition using SIFT

Conference proceedings article

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Publication Details

Author list: Jamjuntr P., Dejdumrong N.

Publisher: Hindawi

Publication year: 2012

Start page: 57

End page: 60

Number of pages: 4

ISBN: 9780769547787

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84868222474&doi=10.1109%2fCGIV.2012.23&partnerID=40&md5=76cb409aa6df7022237470253cbd1152

Languages: English-Great Britain (EN-GB)

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Abstract

This paper presents a Thai font type recognition on Thai document by using Scale-invariant feature transform (SIFT). The features are extracted by Scale-invariant feature transform (SIFT) that is widely used in image processing. Sift is an algorithm for detecting local features in order to find similar objects. Our system contains ten fonts and ten text images in each font. We use ten text images each font total one hundred images for our experiment. Our results show accuracy for 97.37% for ten Thai fonts. ฉ 2012 IEEE.

Keywords

Font type recognition, Scale-invariant feature transform