Automatic physical access control system based on biometric identification by wavelet transform algorithm

Abstract

Nowadays, there is a need to improve security in many real-time usages. Hence, traditional biometric authentication based on fingerprint, iris, face, etc., may actively maintaining the security of a system. Since, these methods result in several limitations in terms of cost, accuracy and its requirements. Hence, this study proposes an automatic identification system based on hand vein biometric using a novel algorithm called Wavelet Transform (WT). Generally, the vein patterns get varied for each finger/person and these patterns are hidden underneath the skin’s surface, it helps to avoid forgery. The process is initiated by a hand image is captured by a web camera with the help of IR light transmission to indicate the vein pattern, shade of finger muscles, bones, and tissue with different size of a live body. With different experimental tests, it is noticed that the veins are clear even capture image is faded. Secondly, the system extracts the vein patterns, thus there no barriers for identification and verification of the damage and tear, the dry and therefore the wet of hand surface. The hand is not in contact with the device instead hand is simply easily stretched and also the capturing of vein pattern in completed, due to non-contact, it’s hygienic and non-duplicating and has no negative image associated with crime. Since the proposed system results in zero falsification and holds high-security grade. The proposed algorithm is processed by MATLAB and implemented in embedded hardware-based platform their by reducing the false acceptance rate and false rejection rate.