DocumentCode :
2866549
Title :
Fuzzy direction pre-classification based feature extraction using Gabor wavelet transformation
Author :
Fang, Yin ; Chen Deyun ; Rui, Wu
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
Volume :
13
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Text image from natural scene is usually low quality because of tilt or low resolution, which causes character recognition degraded. In this paper, a novel method of feature extraction based on fuzzy direction pre-classified is presented that makes use the direction selectivity of Gabor filters. The direction pre-classification of character strokes makes the selection of the direction more accurate. Experimental results show the method adjust to the text deformation.
Keywords :
Gabor filters; character recognition; feature extraction; image classification; image texture; natural scenes; Gabor filters; Gabor wavelet transformation; character recognition; feature extraction; fuzzy direction pre-classification; natural scene; text deformation; text image; Educational institutions; Testing; Gabor wavelet; feature extraction; fuzzy direction pre-classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5622755
Filename :
5622755
Link To Document :
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