Palmprint recognition based on Dempster-Shafer classfier combination

Author

Nan, Zhang

Author_Institution

Coll. of Electron. Inf. & Control Eng, Shandong Polytech. Univ., Jinan, China

Volume

2

fYear

2012

fDate

20-21 Oct. 2012

Firstpage

219

Lastpage

222

Abstract

The palmprint recognition based on Dempster-Shafer classfier combination is presented in this paper. Linear Discriminant Classifier (LDC), One Against All Support Vector Machine (OAASVM) classifier, K-Nearest Near (KNN) classifier and Dempster-Shafer classfier combination are used in our experiments. From the experiment result with the above 3 individual classifiers and DS classifier combination on PolyU Palmprint Database (The Second Version), it can be seen that DS combination approach get a better performance than those individual classifiers.

Keywords

image classification; inference mechanisms; palmprint recognition; support vector machines; DS classifier combination; Dempster-Shafer classfier combination; KNN classifier; LDC; OAASVM classifier; PolyU palmprint database; k-nearest near classifier; linear discriminant classifier; one against all support vector machine classifier; palmprint recognition; Databases; Educational institutions; Feature extraction; Linear discriminant analysis; Principal component analysis; Support vector machines; Training; Dempster-Shafer; classifier combination; palmprint recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4673-0914-1

Type

conf

DOI

10.1109/ICSSEM.2012.6340848

Filename

6340848