A Writer Recognition approach Based on SVM

Author

Yin, Zhonghang ; Yin, Peipei ; Sun, Fuchun ; Wu, Haomiao

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing

Volume

1

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

581

Lastpage

586

Abstract

A writer recognition approach based on SVM is proposed in this paper. Above all, the effect of SVM on the writer recognition is also analyzed under the condition of small samples and weak features, and then the improvement of its performance is validated by experiments. Futhermore, in terms of C-SVC, two parameter optimization schemes are put up based on collapse tests plus margin-based bounds and collapse tests plus compression bounds, respectively, their performance are compared, thus the generation performance of the classifier is enhanced

Keywords

image recognition; optimisation; pattern classification; support vector machines; classifier; collapse tests plus compression bounds; collapse tests plus margin-based bounds; parameter optimization; support vector machines; writer recognition; Application software; Computer science; Feature extraction; Image segmentation; Intelligent systems; Sun; Support vector machine classification; Support vector machines; Systems engineering and theory; Testing; C-SVC; writer identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Engineering in Systems Applications, IMACS Multiconference on

Conference_Location

Beijing

Print_ISBN

7-302-13922-9

Electronic_ISBN

7-900718-14-1

Type

conf

DOI

10.1109/CESA.2006.4281720

Filename

4281720