Person Authentication System Using Multimodal Biometrics

K. Selsiya; Dr. D. Banumathy; Nijanthan; Dr. G. Madasamyraja

doi:10.32628/IJSRSET24113129

Authors

K. Selsiya Department of Computer Science and Engineering, Paavai Engineering College, Namakkal, Tamilnadu, India Author
Dr. D. Banumathy Professor, Department of Computer Science and Engineering, Paavai Engineering College, Namakkal, Tamilnadu, India Author
Nijanthan Assistant Professor, Department of Computer Science and Engineering, Paavai College of Technology, Namakkal, Tamilnadu, India Author
Dr. G. Madasamyraja Professor, Department of Information Technology, Paavai Engineering College, Namakkal, Tamilnadu, India Author

DOI:

https://doi.org/10.32628/IJSRSET24113129

Keywords:

Biometrics, Periocular Regions, Grassmann Algorithm, Gabor Filter, Deep Leaning Algorithm

Abstract

Biometrics is the automated process used to recognize human by measuring their behavioural and physiological characteristics. Biometrics are generally used either for verification The use of biometric for identification purposes requires that a particular biometric factor be unique for each individual that it can be calculated, and that it is invariant over time. Biometrics such as signatures, photographs, fingerprints, voiceprints and retinal blood vessel patterns all have noteworthy drawbacks. Although signatures and photographs are cheap and easy to obtain and store, they are impossible to identify automatically with assurance, and are easily forget. Human iris on the other hand as an internal organ of the eye and as well protected from the external environment, yet it is easily visible from within one meter of distance makes it a perfect biometric for an identification system with the ease of speed, reliability and automation Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on images of the irises of an individual’s eyes, whose complex random patterns are unique. Proposed system provides a comprehensive implementation of periocular biometrics and a deep insight of various aspects such as utility of peri-ocular region In this project face and eye points are captured using Grassmann algorithm and Gabor filter for eye features extraction. Each trait is analysed separately and given its own score. The results are combined using deep leaning algorithm to provide a single decision in real time environments.

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