Incremental updating of advanced correlation filters for biometric authentication systems

In this paper we show mathematical formulation of incrementally building advanced correlation filters used in authentication systems that are based on face and fingerprint images as biometrics for verification. This method is crucial for incorporating such algorithms on small devices with limited memory and computational resources. We also present results that show that these correlation filters perform well for face and fingerprint images. We used the PIE (pose, illumination and expression) database from CMY to test the verification performance using face images. Similarly, for fingerprint images we used the NIST special database 24 to evaluate verification performance.