Biometric Authentication using Correlation Filters
Prof. Vijayakumar Bhagavatula
Dept. of Electrical and Computer Engineering
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.
received his Ph.D. in Electrical Engineering from Carnegie Mellon University