FKP Biometrics for Human Authentication

Automated security is one of the major concerns of modern times. Secure and reliable authentication systems are in great demand. A biometric trait like Finger Knuckle Print (FKP) of a person is unique and secure. In this paper, we propose a human authentication system based on FKP image of a person. Depending on the security level required by an organization that implements the proposed system, we provide two modes of security viz. basic mode and advanced mode. In the basic mode, the Radon Transform is applied on pre-processed FKP image and Eigen values are computed. Then we compute the correlation coefficient between the set of Eigen values stored in the database and that of input image to authenticate a person. For advanced level of security, we apply Gabor Wavelet on pre-processed FKP image. The magnitude values of the Gabor Wavelet Transform are computed. Then the correlation coefficient between the set of magnitude values stored in the database and that of input image is used to authenticate a person. For real time implementation, suitable GUI can be developed. The basic mode of security system is found to have FAR as 6.79% and FRR as 0.0517%. The advanced mode has the FAR of about 3.07% and FRR as 1.14%.