Published Paper Details:

Now-a-days most of the applications are requires the effective security system for managing the transaction details and other information. Other than the CCTV security process, biometric systems are utilized in several application to monitor the people activities and helps to authenticate the person. Even though, the biometric systems are failing to authenticate the right person some times which reduces the efficiency of authentication system. For achieve this goal, in this paper dorsal vein biometric features are used to authenticate the user information. Initially, dorsal vein images are collected from different person, which are processed by applying the median filter that eliminates the noise from image. After that vein regions are located with the help of the deep learning approach which recognize the vein information using different layers. From the extracted vein region, various statistical features are derived that are processed by the intelligent classifier called ant colony optimized compositional neural network which train the features and authenticate the user information effectively. Then the efficiency of the system is evaluated using experimental results such as FAR, FRR and ERR.