Analyzing Security Measures with Unimodal and Multimodal Biometrics

Biometrics involves recognizing individuals based on the features derived from their Physiological and or behavioral characteristics. Biometric systems provide reliable recognition schemes to determine or confirm the individual identity. Applications of these systems include computer systems security,e-banking, credit card, access to buildings in a secure way. Here the person or object itself is a password. User verification systems that use a single Biometric indicator is disturbed by noisy data,restricted degrees of freedom and error rates. Improving the performance of Unimodal biometric systems now becomes problematic. Multibiometric systems tries to overcome these drawbacks by providing multiple evidences to the same identity hence the performance may be increased.Furthermore intruders trying to hack the biometric identity find it difficult to work on Multibiometric systems. However an effective fusion scheme is necessary to combine multiple information of an identity. This paper addresses a brief overview of biometric methods Unimodal and Multimodal as well as their advantages and disadvantages are to be presented. This record was migrated from the OpenDepot repository service in June, 2017 before shutting down