Palmprint recognition based on isodata clustering algorithm

Author

Liu, Fu ; Lin, Cai-xia ; Cui, Ping-yuan ; Dong, Tian

Volume

3

fYear

2007

fDate

2-4 Nov. 2007

Firstpage

1129

Lastpage

1133

Abstract

This paper analyzes the palmprint textures with a multi-resolution method. Texture feature vectors of palmprint are extracted by wavelet transformation. With the texture feature, isodata clustering method is used to achieve classification of the Feature vectors. Based on the classification, euclidean distance within-class and between-class are calculated to match the feature. Experimental result illustrates that the proposed approach for palmprint recognition is effective.

Keywords

biometrics (access control); image classification; image matching; image recognition; image resolution; pattern clustering; wavelet transforms; image classification; image matching; isodata clustering algorithm; multiresolution method; palmprint recognition; wavelet transformation; Biometrics; Clustering algorithms; Clustering methods; Educational institutions; Feature extraction; Image texture analysis; Notice of Violation; Pattern analysis; Pattern recognition; Wavelet analysis; Biometrics; ISODATA cluster; Palmprint recognition; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1065-1

Electronic_ISBN

978-1-4244-1066-8

Type

conf

DOI

10.1109/ICWAPR.2007.4421602

Filename

4421602