Palmprint recognition based on isodata clustering algorithm

被引：0

作者：

Liu, Fu ^{[1
,3
]}

Lin, Cai-Xia ^{[2
]}

Cui, Ping-Yuan ^{[3
]}

Dong, Tian ^{[1
]}

机构：

[1] Jilin Univ, Coll Commun Engn, Changchun 130022, Peoples R China

[2] Hainan Univ, Coll Informat, Haikou 570228, Peoples R China

[3] Harbin Inst Technol, Deep Space Explorat Res Ctr, Harbin 150001, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS | 2007年

关键词：

biometrics; palmprint recognition; wavelet analysis; ISODATA cluster;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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. Bawd 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.

引用

页码：1129 / +

页数：2

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