A Competent Method for Personal Authentication based on Intra-Knuckle Parameters

Biometric based personal authentication system has been receiving widespread interest in the area of research. In that, Identification of a person based on hand based biometrics has become a significant part in both research and real time application of personal authentication system. This paper proposes a new approach for personal authentication system based on Finger Back Knuckle Surface (FBKS). The existing works on biometric authentication system based on finger knuckle print is implemented using texture analysis method which is computationally costlier. This paper presents a competent method for personal authentication that extracts the feature information based on the Intraknuckle parameters of Finger Back Knuckle surface (FBKS).In this, the FBKS is captured using automated low cost, contact less method. The feature points like Knuckle mid points, Knuckle Edge points in both Primary Knuckle and Core knuckle were identified. The extraction of feature information is done based on geometrical examination. The experiments were conducted with newly created database of 120 samples with 60 male and 60 female. The performance of the proposed method is experimentally certified for possessing high recognition accuracy and also proved to be computationally economic.