A Fast Palm Print Verification System

Sydney, Australia July 26-July 28

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http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.7

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	Michael KO Goh, Tee Connie, Andrew BJ Teoh, David CL Ngo, "A Fast Palm Print Verification System," Computer Graphics, Imaging and Visualization, International Conference on, pp. 168-172, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006.

	BibTex	x
	@article{ 10.1109/CGIV.2006.7, author = {Michael KO Goh and Tee Connie and Andrew BJ Teoh and David CL Ngo}, title = {A Fast Palm Print Verification System}, journal ={Computer Graphics, Imaging and Visualization, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2606-3}, pages = {168-172}, doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.7}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Graphics, Imaging and Visualization, International Conference on TI - A Fast Palm Print Verification System SN - 0-7695-2606-3 SP168 EP172 A1 - Michael KO Goh, A1 - Tee Connie, A1 - Andrew BJ Teoh, A1 - David CL Ngo, PY - 2006 KW - Biometrics KW - Gabor filter KW - Wavelet Transform KW - Palm Print KW - Competitive Rule VL - 0 JA - Computer Graphics, Imaging and Visualization, International Conference on ER -

Michael KO Goh, Multimedia University, Malaysia

Tee Connie, Multimedia University, Malaysia

Andrew BJ Teoh, Multimedia University, Malaysia

David CL Ngo, Multimedia University, Malaysia

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.

Index Terms:

Biometrics, Gabor filter, Wavelet Transform, Palm Print, Competitive Rule

Citation:

Michael KO Goh, Tee Connie, Andrew BJ Teoh, David CL Ngo, "A Fast Palm Print Verification System," cgiv, pp.168-172, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006

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