Palmprint recognition based on ISODATA clustering algorithm

Fu Liu; Cai Xia Lin; Ping Yuan Cui; Tian Dong

doi:10.1109/ICWAPR.2007.4421602

Palmprint recognition based on ISODATA clustering algorithm

Fu Liu^*, Cai Xia Lin, Ping Yuan Cui, Tian Dong

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1129-1133
Number of pages	5
ISBN (Print)	1424410665, 9781424410668
DOIs	https://doi.org/10.1109/ICWAPR.2007.4421602
Publication status	Published - 2007
Externally published	Yes
Event	2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07 - Beijing, China Duration: 2 Nov 2007 → 4 Nov 2007

Publication series

Name	Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
Volume	3

Conference

Conference	2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
Country/Territory	China
City	Beijing
Period	2/11/07 → 4/11/07

Keywords

Biometrics
ISODATA cluster
Palmprint recognition
Wavelet analysis

Access to Document

10.1109/ICWAPR.2007.4421602

Cite this

Liu, F., Lin, C. X., Cui, P. Y., & Dong, T. (2007). Palmprint recognition based on ISODATA clustering algorithm. In Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07 (pp. 1129-1133). Article 4421602 (Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICWAPR.2007.4421602

Liu, Fu ; Lin, Cai Xia ; Cui, Ping Yuan et al. / Palmprint recognition based on ISODATA clustering algorithm. Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07. Institute of Electrical and Electronics Engineers Inc., 2007. pp. 1129-1133 (Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07).

@inproceedings{8676fa06eedf4c09a54ed4470407812b,

title = "Palmprint recognition based on ISODATA clustering algorithm",

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, ISODATA cluster, Palmprint recognition, Wavelet analysis",

author = "Fu Liu and Lin, {Cai Xia} and Cui, {Ping Yuan} and Tian Dong",

year = "2007",

doi = "10.1109/ICWAPR.2007.4421602",

language = "English",

isbn = "1424410665",

series = "Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1129--1133",

booktitle = "Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07",

address = "United States",

note = "2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07 ; Conference date: 02-11-2007 Through 04-11-2007",

}

Liu, F, Lin, CX, Cui, PY & Dong, T 2007, Palmprint recognition based on ISODATA clustering algorithm. in Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07., 4421602, Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 1129-1133, 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07, Beijing, China, 2/11/07. https://doi.org/10.1109/ICWAPR.2007.4421602

Palmprint recognition based on ISODATA clustering algorithm. / Liu, Fu; Lin, Cai Xia; Cui, Ping Yuan et al.
Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07. Institute of Electrical and Electronics Engineers Inc., 2007. p. 1129-1133 4421602 (Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Palmprint recognition based on ISODATA clustering algorithm

AU - Liu, Fu

AU - Lin, Cai Xia

AU - Cui, Ping Yuan

AU - Dong, Tian

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Biometrics

KW - ISODATA cluster

KW - Palmprint recognition

KW - Wavelet analysis

UR - http://www.scopus.com/inward/record.url?scp=45149111276&partnerID=8YFLogxK

U2 - 10.1109/ICWAPR.2007.4421602

DO - 10.1109/ICWAPR.2007.4421602

M3 - Conference contribution

AN - SCOPUS:45149111276

SN - 1424410665

SN - 9781424410668

T3 - Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07

SP - 1129

EP - 1133

BT - Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07

Y2 - 2 November 2007 through 4 November 2007

ER -

Liu F, Lin CX, Cui PY, Dong T. Palmprint recognition based on ISODATA clustering algorithm. In Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07. Institute of Electrical and Electronics Engineers Inc. 2007. p. 1129-1133. 4421602. (Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07). doi: 10.1109/ICWAPR.2007.4421602

Palmprint recognition based on ISODATA clustering algorithm

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