Abstract
As the automation in biometric authentication is increasing there is demand for the high security for protecting private information and access control with increased speed and accuracy. One of the very important solutions for the security issues is the human behavioral and physiological features in biometrics. However, the existing biometric systems are not suitable in very high security and are highly complex in terms of time or space or both. Thus a biometric authentication based on finger-vein recognition system is proposed. The proposed system is implemented using novel finger vein recognition algorithm. Lacunae, fractal dimension and Gabor filter are the algorithms used for feature extraction and using the distance classifier the matching of the extracted feature is done. The analysis is done using the various parameters from which the kurtosis, range shows large variation from person to person. The analysis shows that the finger vein recognition is easier and reliable.
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