Image Representation Using 2D Gabor Wavelets
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Palmprint Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Vision and Applications
Near- and Far- Infrared Imaging for Vein Pattern Biometrics
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Fingerprint Verification Using Gabor Co-occurrence Features
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 02
A thermal hand vein pattern verification system
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Biometric verification using thermal images of palm-dorsa vein patterns
IEEE Transactions on Circuits and Systems for Video Technology
Score level fusion of multimodal biometrics using triangular norms
Pattern Recognition Letters
Hand dorsal vein recognition based on hierarchically structured texture and geometry features
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Hand vein recognition based on oriented gradient maps and local feature matching
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
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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%.