A fast palm print verification system

Michael K.O. Goh; Tee Connie; Andrew B.J. Teoh; David C.L. Ngo

doi:10.1109/CGIV.2006.7

A fast palm print verification system

Michael K.O. Goh, Tee Connie, Andrew B.J. Teoh, David C.L. Ngo

Department of Electrical and Electronic Engineering

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

14 Citations (Scopus)

Abstract

Palm print is a relatively new biometric technology. Palm print textures like principle lines, wrinkles and ridges contain discriminative information which can be extracted for verification purpose. In this paper, we aim to reexamine the competitive palm code scheme proposed by [6], and introduce some improvement over the proposed method. In order to reduce the computation complexity, we adopted wavelet transform to decompose the palm print image into lower resolution. We are able to show that wavelet transform when integrated with 2D Gabor filter is able to yield verification rate of 96.70%, with an improved verification speed of less than 1 second.

Original language	English
Title of host publication	Proceedings - Computer Graphics, Imaging and Visualisation
Subtitle of host publication	Techniques and Applications, CGIV'06
Pages	168-172
Number of pages	5
DOIs	https://doi.org/10.1109/CGIV.2006.7
Publication status	Published - 2006
Event	International Conference on Computer Graphics, Imaging and Visualisation, CGIV'06 - Sydney, Australia Duration: 2006 Jul 26 → 2006 Jul 28

Publication series

Name	Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06
Volume	2006

Other

Other	International Conference on Computer Graphics, Imaging and Visualisation, CGIV'06
Country/Territory	Australia
City	Sydney
Period	06/7/26 → 06/7/28

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Software

Access to Document

10.1109/CGIV.2006.7

Cite this

Goh, M. K. O., Connie, T., Teoh, A. B. J., & Ngo, D. C. L. (2006). A fast palm print verification system. In Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06 (pp. 168-172). Article 1663785 (Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06; Vol. 2006). https://doi.org/10.1109/CGIV.2006.7

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title = "A fast palm print verification system",

abstract = "Palm print is a relatively new biometric technology. Palm print textures like principle lines, wrinkles and ridges contain discriminative information which can be extracted for verification purpose. In this paper, we aim to reexamine the competitive palm code scheme proposed by [6], and introduce some improvement over the proposed method. In order to reduce the computation complexity, we adopted wavelet transform to decompose the palm print image into lower resolution. We are able to show that wavelet transform when integrated with 2D Gabor filter is able to yield verification rate of 96.70%, with an improved verification speed of less than 1 second.",

author = "Goh, {Michael K.O.} and Tee Connie and Teoh, {Andrew B.J.} and Ngo, {David C.L.}",

year = "2006",

doi = "10.1109/CGIV.2006.7",

language = "English",

isbn = "0769526063",

series = "Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06",

pages = "168--172",

booktitle = "Proceedings - Computer Graphics, Imaging and Visualisation",

note = "International Conference on Computer Graphics, Imaging and Visualisation, CGIV'06 ; Conference date: 26-07-2006 Through 28-07-2006",

}

Goh, MKO, Connie, T, Teoh, ABJ & Ngo, DCL 2006, A fast palm print verification system. in Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06., 1663785, Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06, vol. 2006, pp. 168-172, International Conference on Computer Graphics, Imaging and Visualisation, CGIV'06, Sydney, Australia, 06/7/26. https://doi.org/10.1109/CGIV.2006.7

A fast palm print verification system. / Goh, Michael K.O.; Connie, Tee; Teoh, Andrew B.J. et al.
Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06. 2006. p. 168-172 1663785 (Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06; Vol. 2006).

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

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T1 - A fast palm print verification system

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N2 - Palm print is a relatively new biometric technology. Palm print textures like principle lines, wrinkles and ridges contain discriminative information which can be extracted for verification purpose. In this paper, we aim to reexamine the competitive palm code scheme proposed by [6], and introduce some improvement over the proposed method. In order to reduce the computation complexity, we adopted wavelet transform to decompose the palm print image into lower resolution. We are able to show that wavelet transform when integrated with 2D Gabor filter is able to yield verification rate of 96.70%, with an improved verification speed of less than 1 second.

AB - Palm print is a relatively new biometric technology. Palm print textures like principle lines, wrinkles and ridges contain discriminative information which can be extracted for verification purpose. In this paper, we aim to reexamine the competitive palm code scheme proposed by [6], and introduce some improvement over the proposed method. In order to reduce the computation complexity, we adopted wavelet transform to decompose the palm print image into lower resolution. We are able to show that wavelet transform when integrated with 2D Gabor filter is able to yield verification rate of 96.70%, with an improved verification speed of less than 1 second.

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M3 - Conference contribution

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T3 - Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06

SP - 168

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BT - Proceedings - Computer Graphics, Imaging and Visualisation

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Y2 - 26 July 2006 through 28 July 2006

ER -

A fast palm print verification system

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