Online biometric authentication using hand vein patterns

Online authentication is one of the basic requirements for any biometric based authentication system used in civil and commercial applications. This paper presents a new approach for online biometric authentication using hand vein patterns. In contrast to the existing approaches, our online authentication system utilizes infrared thermal images of hand vein patterns for authentication purposes. A robust peg free camera set up is employed for infrared thermal imaging. A region of interest (ROI) is extracted from the vein patterns to convolve with Gabor filter for improving the visibility of vein pattern. The outcome of this convolution is the real and imaginary parts of which only the real part is regarded as a texture. Gabor Wavelets at different orientations are convolved with the real part after partitioning it into non-overlapping windows to extract texture. The mean of the convolution on each window is taken as a feature. The experimental results on 100 users conform to the false acceptance error rate (FAR) of 0.1% for the genuine acceptance rate (GAR) of 98.5%.

[1]  David Zhang,et al.  Online Palmprint Identification , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Kuo-Chin Fan,et al.  Biometric verification using thermal images of palm-dorsa vein patterns , 2004, IEEE Trans. Circuits Syst. Video Technol..

[3]  G. Leedham,et al.  Infrared imaging of hand vein patterns for biometric purposes , 2007 .

[4]  Anil K. Jain,et al.  On-line fingerprint verification , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[5]  Lambert Spaanenburg,et al.  Hand veins feature extraction using DT-CNNS , 2007, SPIE Microtechnologies.

[6]  Koichi Shimizu,et al.  Artificial Immune System for Personal Identifiction with Finger Vein Pattern , 2004, KES.

[7]  John Daugman,et al.  Demodulation by Complex-Valued Wavelets for Stochastic Pattern Recognition , 2003, Int. J. Wavelets Multiresolution Inf. Process..

[8]  Alireza Ahmadian,et al.  An efficient texture classification algorithm using Gabor wavelet , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[9]  Ashok A. Ghatol,et al.  Iris recognition: an emerging biometric technology , 2007 .

[10]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[11]  Toshio Endoh,et al.  Palm vein authentication technology and its applications , 2005 .

[12]  Naoto Miura,et al.  Feature Extraction of Finger-vein Patterns Based on Repeated Line Tracking and Its Application to Personal Identification , 2022 .

[13]  Lingyu Wang,et al.  A Thermal Hand Vein Pattern Verification System , 2005, ICAPR.

[14]  S. Arivazhagan,et al.  Fingerprint Verification Using Gabor Co-occurrence Features , 2007, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).

[15]  Tai Sing Lee,et al.  Image Representation Using 2D Gabor Wavelets , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Yunhong Wang,et al.  Biometric identification based on low-quality hand vein pattern images , 2008, 2008 International Conference on Machine Learning and Cybernetics.

[17]  Chih-Lung Lin,et al.  Biometric verification using thermal images of palm-dorsa vein patterns , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[18]  Lingyu Wang,et al.  Near- and Far- Infrared Imaging for Vein Pattern Biometrics , 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

[19]  John Daugman,et al.  High Confidence Visual Recognition of Persons by a Test of Statistical Independence , 1993, IEEE Trans. Pattern Anal. Mach. Intell..