A novel SVM classifier for recognition of gray character using Gabor filters

Author

Lin, Cui ; Qiuqi, Ruan

Author_Institution

Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China

Volume

2

fYear

2004

fDate

31 Aug.-4 Sept. 2004

Firstpage

1451

Abstract

In this paper, we addressed the issues in feature of the gray character. Second we construct the designing a novel SVMs for gray character recognition. And in the stage of feature selection, we use the gabor filter which can scale the image source from different directions and different scales. In the stage of designing the classifier, we use the SVMs, however we construct each SVM according to our valuable features and consider the current samples just have two classes. And following our principle, we got the combining SVMs. All the process of recognition is like a binary tree.

Keywords

character recognition; feature extraction; filtering theory; image classification; image reconstruction; regression analysis; Gabor filter; SVM classifier; binary tree; feature extraction; gray character recognition; image construction; image source; support vector machine; Binary trees; Character recognition; Classification tree analysis; Face recognition; Gabor filters; Gaussian processes; Kernel; Support vector machine classification; Support vector machines; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on

Print_ISBN

0-7803-8406-7

Type

conf

DOI

10.1109/ICOSP.2004.1441600

Filename

1441600