Dorsal hand vein Biometric authentication using complex Walsh transform
Vasagiri Krishnasree, Sudhakar Rao Parvata · 2016
People are depending on information very much and it is becoming essential to carry out different activities every day. The degree of security in many situations becoming critical and need to be paid attention because of increase of crime rate with sophisticated technology. To increase the privacy and safety of information care must be taken to protect the information. Individual authentication is achieved using Biometric traits in different fields. As biometric authentication, there are methods using finger print, iris, and voice and so on. For the disadvantages of other biometric recognition methods, dorsal hand vein pattern has emerged as new biometric because the vascular structure is unique to every individual. The vein is the inner features of body and can't be fabricated and they are lasting. So it can be used for identification of individuals in highly secured areas. In this project, a new approach is proposed for extracting critical features from the dorsal hand vein pattern using the concepts of Walsh transform and Euclidean distance similarity measure. The proposed methodology has been tested on a dataset of 100 dorsal hand vein images and the experimental results are found to be promising.