Enhanced Dual Authentication Using Multimodal Biometric Framework and Deep Learning Technique

Abstract

Network security is considered as the major component of information security. It is very much important to have a secured transmission of information along with networks and computers. Normally, cryptography is one of the practices for protecting information from unknown people or it is a science of sending a message to another person or party in a way that only the recipient can read the message. Now a day s the usage of deep learning methods increasing in several fields which involves recognition of biometric because of its automatic data learning indication. In this research work Heuristic CNN model is used to abstract the structures of palmprint. Biometric authentication is of various types namely DNA Matching, iris recognition, face recognition, finer geometry recognition, hand geometry recognition, and voice recognition. It can be obtained from one or more physical or behavior traits like fingerprints, iris, face, speech, hand geometry, etc.