Combining the Goodness of Euler Number and Cumulative Sum to Achieve Higher Accuracy for Iris Recognition Systems
Biometrics has dominated the areas of security for its ability to provide uniqueness, higher accuracy and minimum invasion instances. Using iris and its texture as a means of verification and validation evolved three decades ago and since then it has been one of the most reliable security methods with work being done to increase efficiency along with minimizing cost. The method proposed and implemented considers the two above stated requirements as its essence. Two algorithms have been proposed i.e. Euler number and Cumulative Sum for feature extraction. Both have simple mathematical computations which require less processor time thus reducing cost. Fusion of the two algorithms gives higher accuracy since cases of contradicting results can be cross verified with the individual algorithm score.