Thai Font Type Recognition Using SIFT

Author

Jamjuntr, Pitchaya ; Dejdumrong, Natasha

Author_Institution

Dept. of Comput. Eng., King Mongkut´´s Univ. of Technol. Thonburi, Bangkok, Thailand

fYear

2012

fDate

25-27 July 2012

Firstpage

57

Lastpage

60

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.

Keywords

feature extraction; natural language processing; optical character recognition; text analysis; transforms; SIFT; Thai document; Thai font type recognition; image processing; local feature detection; scale-invariant feature transform; text image; Accuracy; Character recognition; Feature extraction; Image recognition; Optical character recognition software; Optical imaging; Text recognition; Font type recognition; Scale-invariant feature transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics, Imaging and Visualization (CGIV), 2012 Ninth International Conference on

Conference_Location

Hsinchu

Print_ISBN

978-1-4673-2335-2

Electronic_ISBN

978-0-7695-4778-7

Type

conf

DOI

10.1109/CGIV.2012.23

Filename

6298349