Three dimensional palmprint recognition

Author

Li, Wei ; Zhang, Lei ; Zhang, David

Author_Institution

Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

4847

Lastpage

4852

Abstract

Palmprint has been widely studied as its high accuracy and low cost. Most of the previous studies are based on two dimensional (2D) image of the palmprint. However, 2D image can be easily forged, which will threaten the security of palmprint authentication system. Furthermore, 2D image can be easily affected by noise, such as scrabbling and dirty in the palm. To overcome these shortcomings, we develop a three dimensional (3D) palmprint identification system. The structured-light imaging technology is adopted to collect the 3D palmprint data, from which the stable mean curvature image (MCI) is extracted. Then the competitive coding (CompCode) technique is used to code the 3D palmprint pattern according the MCI. By using score level fusion of MCI and its CompCode, promising recognition performance is achieved on our established 3D palmprint database.

Keywords

biometrics (access control); feature extraction; image coding; image fusion; image recognition; 3D palmprint recognition; competitive coding technique; mean curvature image extraction; palmprint authentication system; score level fusion; structured-light imaging technology; Authentication; Biometrics; Costs; Data acquisition; Data security; Image recognition; Image reconstruction; Pattern recognition; Surface reconstruction; Time measurement; 3D palmprint identification; biometrics; feature coding; mean curvature;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346053

Filename

5346053