Fingerprint and Face Identification for Large User Population

Abstract

The main objective of this paper is to present the state-of-the-art of the current biometric (fingerprint and face) technology, lessons learned during the investigative analysis performed to ascertain the benefits of using combined fingerprint and facial technologies, and recommendations for the use of current available fingerprint and face identification technologies for optimum identification performance for applications using large user population. Prior fingerprint and face identification test study results have shown that their identification accuracies are strongly dependent on the image quality of the biometric inputs. Recommended methodologies for ensuring the capture of acceptable quality fingerprint and facial images of subjects are also presented in this paper.

Keywords

• Fingerprint Identification
• Machine Intelligence
• Face Identification
• Biometrics Systems
• Statistical Pattern Recognition