Palmprint Texture Analysis Using Derivative of Gaussian Filters

Author

Wu, Xiangqian ; Wang, Kuanquan ; Zhang, David

Author_Institution

Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol.

Volume

1

fYear

2006

fDate

Nov. 2006

Firstpage

751

Lastpage

754

Abstract

This paper presents a novel approach of palmprint texture analysis based on the derivative of Gaussian filter. In this approach, the palmprint image is respectively preprocessed along horizontal and vertical direction using derivative of Gaussian (DoG) filters. And then the palmprint is encoded according to the sign of the value of each pixel of the filtered images. This code is called DoGCode of the palmprint. The size of DoGCode is 256 bytes. The similarity of two DoGCode is measured using their Hamming distance. This approach is tested on the PolyU Palmprint Database, which containing 7605 samples from 392 palms, and the EER is 0.19%, which is comparable with the existing palmprint recognition methods

Keywords

Gaussian processes; filtering theory; image recognition; image texture; DoGCode; Gaussian filters; Hamming distance; filtered images; palmprint image; palmprint texture analysis; Biometrics; Data mining; Feature extraction; Filters; Fingerprint recognition; Fingers; Hamming distance; Image databases; Image texture analysis; Iris;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security, 2006 International Conference on

Conference_Location

Guangzhou

Print_ISBN

1-4244-0605-6

Electronic_ISBN

1-4244-0605-6

Type

conf

DOI

10.1109/ICCIAS.2006.294235

Filename

4072188