Defocused Palmprint Recognition Using 2DPCA

Author

Sang, Hai-feng ; Liu, Fang

Author_Institution

Comput. Vision Group, Shenyang Univ. of Technol., Shenyang, China

Volume

1

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

611

Lastpage

615

Abstract

Hand-based identification have developed very recently. This paper proposes a recognizing method for defocused palmprint images using 2DPCA. In order to achieve the purpose of intercepting region of interest (ROI) of palmprint under contactlass mode, we used profile information of palm and root of fingers situations to locate characteristic points of contour. Next, the palmprint features were extracted by 2DPCA method. Finally, we used of nearest neighbor distance classifier for matching. The experimental result presents 97.71% correct recognition rate of defocused palmprint on a database of 50 subjects and shows efficiency of the method proposed in this paper.

Keywords

biometrics (access control); feature extraction; image classification; image matching; image recognition; principal component analysis; 2DPCA; contactless acquisition; contour points localisation; defocused palmprint recognition; feature extraction; hand-based identification; image matching; intercepting region of interest; nearest neighbor distance classifier; principal component analysis; Artificial intelligence; Computational intelligence; Computer vision; Data mining; Feature extraction; Fingers; Image recognition; Laplace equations; Nearest neighbor searches; Pixel; 2DPCA; contactless acquisition; defocused palmprint;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.106

Filename

5376324