अमूर्त

Systematic Approach of Knuckle System Implementation for Human Identification

Prof.V.U.Kale, Prof.R.A.Wakode, Rinky L.Batra

A new approach for personal authentication implementing finger back surface imaging is presented in this work. A distinctive biometric identifier surface texture pattern is produced by finger knuckle bending which is highly unique. There exists several hand features resulting from complex interaction among bones, muscles, skin and tissues (automatically these are unique from person to person) which remain relatively unexplored for their potential in biometric especially for forensic application. An independent biometric identifier patterns evolve from the major finger knuckle pattern (that are formed on the finger surface joining proximal phalanx and middle phalanx bones). A completely automated finger knuckle identification system is implemented using key steps such as region of interest segmentation, image normalization, enhancement, and robust matching. This proposed work on FKP for identifying the human with greater efficiency and higher security.