Palm print recognition using Local Binary Pattern operator and support vector machines

Author

Hanmandlu, M. ; Gureja, Ankit ; Jain, Ankur

Author_Institution

Dept. of Electr. Eng., IIT Delhi, New Delhi, India

fYear

2010

fDate

15-17 Dec. 2010

Firstpage

158

Lastpage

162

Abstract

This paper presents a novel technique of obtaining the Region of Interest (ROI) which is square-shaped. After palm print segmentation, we perform texture feature extraction using Local Binary Pattern (LBP) based on the directional gradient response. With the feature vectors so obtained we perform matching using Support vector machines (SVM) and also using the Chi-square distance measurement. The experimental results presented in this paper show significant improvement in the performance of the biometric system with a combination of LBP and SVM.

Keywords

biometrics (access control); feature extraction; image recognition; image segmentation; image texture; support vector machines; Chi-square distance measurement; biometric system; directional gradient response; local binary pattern operator; palm print recognition; palm print segmentation; region of interest; support vector machines; texture feature extraction; Databases; Feature extraction; Histograms; Image segmentation; Kernel; Pixel; Support vector machines; Biometrics; Local Binary Pattern; Palm-printing; Support Vector Machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Image Processing (ICSIP), 2010 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4244-8595-6

Type

conf

DOI

10.1109/ICSIP.2010.5697461

Filename

5697461