Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11386
Title: A multimodal biometric authentication system based on 2D and 3D palmprint features
Authors: Aggithaya, VK
Zhang, D 
Luo, N
Keywords: 2D palmprint
3D palmprint
Biometrics
Issue Date: 2008
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2008, v. 6944, 69440C How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
Abstract: This paper presents a new personal authentication system that simultaneously exploits 2D and 3D palmprint features. Here, we aim to improve the accuracy and robustness of existing palmprint authentication systems using 3D palmprint features. The proposed system uses an active stereo technique, structured light, to capture 3D image or range data of the palm and a registered intensity image simultaneously. The surface curvature based method is employed to extract features from 3D palmprint and Gabor feature based competitive coding scheme is used for 2D representation. We individually analyze these representations and attempt to combine them with score level fusion technique. Our experiments on a database of 108 subjects achieve significant improvement in performance (Equal Error Rate) with the integration of 3D features as compared to the case when 2D palmprint features alone are employed.
Description: Biometric Technology for Human Identification V, Orlando, FL, 18-19 March 2008
URI: http://hdl.handle.net/10397/11386
ISBN: 9780819471352
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.779432
Appears in Collections:Conference Paper

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