Survey Of Multimodal Biometric Using Ear And Finger Knuckle Image

Todays world threats to personal data is imminent so identity of a person is important. With the increased battle against cybercrimes, person identification has given rise to biometric authentication system. Human identification has been subjected to intensive research due to their application in all aspects of security surveillance. Biometric is a mechanism to recognize a person by physical or behavioral traits such as face, fingerprint, signature, iris, palmprint, hand geometry, ear, finger knuckle print. To overcome the limitation of Uni Biometric by Multimodal Biometric has been developed. This paper provides an overview of Ear and Finger Knuckle Biometric recognition with different fusion technique to authenticate a person. The Ear and Finger Knuckle biometric are recently developing technique which are non-invasive method of Person identification. The Ear Biometric are unique since it is stable from birth. The image pattern from Finger Knuckle bending is highly unique and rich in texture patterns. It shows that the performance of different Biometric system varies according to application.