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)
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.