Finger and palm print based multibiometric authentication system with GUI interface

Unimodal biometric systems have to contend with a variety of problems such as noisy data, intra-class variations, restricted degrees of freedom, non-universality, spoof attacks, and unacceptable error rates. Some of these limitations can be addressed b y deploying multimodal biometric systems that integrate the evidence presented by multiple sources of information. This paper discusses a multibiometric based authentication system with GUI interface. The proposal includes an extraction algorithm to extract features from given finger print and a palm print feature extraction algorithm to extract palm print features. Then an integration of these two algorithms to perform a multibiometric authentication was done. By processing the test image of a person, the identity of the person is displayed with his/her own image. By the proposed fingerprint and palm print algorithm, it is found that it has less computation time and occupies less memory space compared to the existing algorithms. The Fingerprint and palm print matching results for the proposed methods are validated and the system integrity for all the cases were evaluated.