Hand vein recognition based on multi supplemental features of multi-classifier fusion decision

Wang Kejun; Zhang Yan; Yuan Zhi; Zhuang Dayan

doi:10.1109/ICMA.2006.257486

Hand vein recognition based on multi supplemental features of multi-classifier fusion decision

Wang Kejun^*
, Zhang Yan
, Yuan Zhi
, Zhuang Dayan

^*Corresponding author for this work

Harbin Engineering University

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

84 Scopus citations

Abstract

As a kind of biometric feature authentication system, hand vein recognition has more merits than others. So it has a vast foreground. In this paper, a new algorithm based on multi supplemental features of multi-classifier fusion decision is proposed. It overcomes the disadvantages of the single feature recognition. Experimental results indicate that the proposed methods can significantly improve the recognition accuracy and reliability compared to the previous hand vein recognition.

Original language	English
Title of host publication	2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
Pages	1790-1795
Number of pages	6
DOIs	https://doi.org/10.1109/ICMA.2006.257486
State	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 - Luoyang, China Duration: 25 Jun 2006 → 28 Jun 2006

Publication series

Name	2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
Volume	2006

Conference

Conference	2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
Country/Territory	China
City	Luoyang
Period	25/06/06 → 28/06/06

Keywords

Biometrics
Decision fusion
Hand vein recognition
Multi-classifier
Pattern recognition

Access to Document

10.1109/ICMA.2006.257486

Cite this

Kejun, W., Yan, Z., Zhi, Y., & Dayan, Z. (2006). Hand vein recognition based on multi supplemental features of multi-classifier fusion decision. In 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 (pp. 1790-1795). Article 4026364 (2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006; Vol. 2006). https://doi.org/10.1109/ICMA.2006.257486

@inproceedings{b70e45e7af8b4ada933bfc09719cf7e2,

title = "Hand vein recognition based on multi supplemental features of multi-classifier fusion decision",

abstract = "As a kind of biometric feature authentication system, hand vein recognition has more merits than others. So it has a vast foreground. In this paper, a new algorithm based on multi supplemental features of multi-classifier fusion decision is proposed. It overcomes the disadvantages of the single feature recognition. Experimental results indicate that the proposed methods can significantly improve the recognition accuracy and reliability compared to the previous hand vein recognition.",

keywords = "Biometrics, Decision fusion, Hand vein recognition, Multi-classifier, Pattern recognition",

author = "Wang Kejun and Zhang Yan and Yuan Zhi and Zhuang Dayan",

year = "2006",

doi = "10.1109/ICMA.2006.257486",

language = "英语",

isbn = "1424404665",

series = "2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006",

pages = "1790--1795",

booktitle = "2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006",

note = "2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 ; Conference date: 25-06-2006 Through 28-06-2006",

}

Kejun, W, Yan, Z, Zhi, Y & Dayan, Z 2006, Hand vein recognition based on multi supplemental features of multi-classifier fusion decision. in 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006., 4026364, 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006, vol. 2006, pp. 1790-1795, 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006, Luoyang, China, 25/06/06. https://doi.org/10.1109/ICMA.2006.257486

Hand vein recognition based on multi supplemental features of multi-classifier fusion decision. / Kejun, Wang; Yan, Zhang; Zhi, Yuan et al.
2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006. 2006. p. 1790-1795 4026364 (2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006; Vol. 2006).

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

TY - GEN

T1 - Hand vein recognition based on multi supplemental features of multi-classifier fusion decision

AU - Kejun, Wang

AU - Yan, Zhang

AU - Zhi, Yuan

AU - Dayan, Zhuang

PY - 2006

Y1 - 2006

N2 - As a kind of biometric feature authentication system, hand vein recognition has more merits than others. So it has a vast foreground. In this paper, a new algorithm based on multi supplemental features of multi-classifier fusion decision is proposed. It overcomes the disadvantages of the single feature recognition. Experimental results indicate that the proposed methods can significantly improve the recognition accuracy and reliability compared to the previous hand vein recognition.

AB - As a kind of biometric feature authentication system, hand vein recognition has more merits than others. So it has a vast foreground. In this paper, a new algorithm based on multi supplemental features of multi-classifier fusion decision is proposed. It overcomes the disadvantages of the single feature recognition. Experimental results indicate that the proposed methods can significantly improve the recognition accuracy and reliability compared to the previous hand vein recognition.

KW - Biometrics

KW - Decision fusion

KW - Hand vein recognition

KW - Multi-classifier

KW - Pattern recognition

UR - https://www.scopus.com/pages/publications/34247246179

U2 - 10.1109/ICMA.2006.257486

DO - 10.1109/ICMA.2006.257486

M3 - 会议稿件

AN - SCOPUS:34247246179

SN - 1424404665

SN - 9781424404667

T3 - 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006

SP - 1790

EP - 1795

BT - 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006

T2 - 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006

Y2 - 25 June 2006 through 28 June 2006

ER -

Hand vein recognition based on multi supplemental features of multi-classifier fusion decision

Abstract

Publication series

Conference

Keywords

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