Personal Identification System based on Multiple Palmprint Features

Author

Qin, A.K. ; Suganthan, P.N. ; Tay, C.H. ; Pa, H.S.

Author_Institution

Sch. of EEE, Nanyang Technol. Univ., Singapore

fYear

2006

fDate

5-8 Dec. 2006

Firstpage

1

Lastpage

6

Abstract

This paper presents a palmprint recognition system with palmprint images collected by a high-resolution color scanner. The scanned RGB image of the palmprint is pre-processed and the region of interest (ROI) of the palm is determined by the finger gap locations. Three sets of features extracted from the ROI image by the 2D Gabor filter using the palmprint phase orientation code (PPOC) represent texture information of the palm in the form of a real component, an imaginary component and an orientation component, respectively. The recognition is performed by applying the enhanced linear discriminant analysis (EDLDA) coupled with the nearest neighbor classifier on these three feature sets, respectively, and the decisions are combined via the majority voting scheme to yield the ultimate recognition. Experiments on our collected palmprint image database show promising recognition rate of 99.6% with a low False Acceptance Rate (FAR) of 0.02%

Keywords

Gabor filters; biometrics (access control); feature extraction; image classification; image colour analysis; image texture; 2D Gabor filter; color scanner; enhanced linear discriminant analysis; finger gap location; majority voting scheme; nearest neighbor classifier; palm texture information; palmprint feature extraction; palmprint images; palmprint phase orientation code; palmprint recognition system; personal identification system; Biometrics; Data mining; Data security; Feature extraction; Gabor filters; Image databases; Image recognition; Linear discriminant analysis; Nearest neighbor searches; Voting; Direct LDA; Gabor filter; Majority voting; Palmprint; color scanner;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0341-3

Electronic_ISBN

1-4214-042-1

Type

conf

DOI

10.1109/ICARCV.2006.345257

Filename

4150297