A Novel Finger Knuckle Print Recognition Algorithm Using Radon Coefficients

Person authentication is one of the main concerns in industries as well as in the academics because it is used in these area for various application such as Computer security, banking enforcement, law enforcement physical access control etc. Biometrics is basically referred as the unique behavioral and psychological characteristics of human which can be used for distinguishing the individuals and hence can be served as one of the optimum solution to this problem.In this thesis, inner knuckle surface and its pattern are used for developing a system for person identification. A database of the finger knuckle containing 7920 samples collected from 660 individuals that is publicly made available by the Hong Kong Polytechnic University is used in this work. Radon transform is used here to extract the features of the inner knuckle surface as it is most widely used for detection of lines and crease. A database of these extracted feature is prepared and various techniques of classification is used for classifying these pattern and hence identification of person. Comparison has also been made between various classification technique to find out the most accurate identification.