Recent Articles
R. P. Sharma and S. Dey, "Two-stage Quality Adaptive Fingerprint Image enhancement using Fuzzy C-means Clustering Based Fingerprint Quality Analysis", Image and Vision Computing, Elsevier, vol. 83–84, pp. 1-16, 2019. (SCI, IF-2.747)
R. P. Sharma and S. Dey, "Fingerprint Image Quality Assessment and Scoring Using Minutiae Centered Local Patches", Journal of Electronic Imaging, SPIE, vol. 28, no. 1, pp. 013016-1- 013016-14, 2019. (SCI IF: 0.924)
QIP (AICTE) SPONSORED
Short-Term Course
on
Machine Learning Techniques for Biometric Security
June 20-25, 2022
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Research Highlights
Biometric recognition system refers to automatic recognition of individuals based on their unique physical or behavioural traits. The recent advancement in technologies has made biometric systems more affordable and as a result they are deployed in a variety of smart consumer devices such as mobile phones and tablets. However, it suffers from security and privacy invasion challenges. The compromise of a biometric data may cause permanent loss of identity of a user since biometric data is irreplaceable and irrevocable. My research group is working to address these issues. They are looking for a sufficiently robust cancelable biometric system with provision of substantial template protection mechanism needs to be designed which must meet four design criteria (irreversibility, revocability, diversity and accuracy) for a practical biometric system.