Description

Authentication one of the research area in recent year. There are so many authentication method is there like software, hardware, and biometric the biometric authentication system is one of best authentication process. The biometric system will help to improve the security. The biometric details of the each person is unique. In that reasons the biometric is like Individual password of each person. It is not use by another person and not easily to hack. In our proposed authenticate the person based on the biometric details of finger dorsal texture and vein. The finger dorsal texture is unique of every person the finger vein is also change in every person. In our proposed we extract the feature of finger dorsal and finger vein by using comparative competitive code and ANFIS classifier. The comparative code and is very good feature extraction algorithm it will help to extract some charterstics of the feature of our input image. Then ANFIS classifier will classify the features by best accuracy, sensitivity and low error rate. That all above methods will improve our authentication quality.