Biometric Authentication using
Correlation Filters
Prof. Vijayakumar Bhagavatula
Dept. of Electrical and Computer Engineering
CyberSecurity Laboratory
In the increasingly
e-commerce oriented society, verifying a user's identity is critical for
carrying out financial and other transactions with trust. Most current
authentication systems are password based making them susceptible to problems
such as forgetting the password and passwords being stolen. One way to overcome
these problems is to employ biometrics (e.g., fingerprints, face images,
signatures, etc.) for authentication. This talk will provide an overview of our
research in methods to authenticate a person's identity based on their
biometrics. In particular, application of correlation filters to verify the
identity based on face images, fingerprint images and iris images will be
discussed. Correlation filters are designed in frequency domain and offer
several advantages such as shift-invariance, closed-form designs and graceful
degradation. Although the focus of this talk is on verification, we will also
show results of applying these methods to the task of face identification.
Vijayakumar Bhagavatula
received his Ph.D. in Electrical Engineering from Carnegie Mellon University
(CMU),