Enhanced Systematic Strategy for Biometric Authentication through PIFEA (Pupil and Iris Feature Extraction Algorithm)

Abstract

This research aims to authenticate a person through his/her biometric traits of pupil and iris. The proposed system will complete the required task using the calculation of chord length of Iris,Pupil, and grayscale values of three middle rows (48, 50, and 52) of a resized (100×100) eye image.The overall work divided as (i) Image Acquisition (ii) Preprocessing (iii) Finding chord length of the pupil (iv) Finding chord length of iris (v) Grayscale values of three middle rows (48, 50, and 52) of a 100×100 resized eye image (vi) Creating Stored Templates (vii) Feature matching. This research used binary information to determine the chord length and required position, determining the pupil's chord length and Iris's Chord length. Furthermore, this work uses grayscale values from particular rows to enhance the proposed work's accuracy because the grayscale value gives more information about the pupil and Iris's textural features.Finally, the proposed system offers 99.92% of accuracy with high performance.