Personal Authentication System using Hand Vein Biometric

With an increasing emphasis on security, automated personal identification using hand vein biometric feature is becoming a very active topic in both research and practical applications. The objective of this work is to present a biometric authentication system for high security physical access control based on hand vein pattern. Hand vein biometric is selected, as it is foolproof, offers higher security and reliable for identification. The feature extraction stage consists of removal of the noise inherent using various filtering techniques and extraction of the most discriminating information present in the images using Discrete Wavelet Transform and Adaptive Thresholding techniques. The proposed recognition system makes use of hausdorff distance as matching parameter. The biometric system developed was tested on WASET hand vein image database of Chinese Academy of Sciences Institute of Automation is used and the system is implemented in MATLAB. The proposed approach found to report higher verification accuracy of 99.5%. KeywordsHand vein, Discrete Wavelet Transform, Filtering, Adaptive Thresholding, Hausdorff Distance, WASET