Performance Analysis of Novel Iris Monitoring System Based on Canny Detection Algorithm in comparison with Prewitt Algorithm

Abstract

Aim: The objective of the research is to develop the novel iris monitoring system by reducing the noise of the image in the dataset using the canny edge detection techniques in comparison with the prewitt algorithm. Materials and Methods: The total of 30 eye samples were taken to form a dataset. Group 1 represents the canny edge detection algorithm and group 2 represents the prewitt algorithm. The G power calculator was done with 80% of power and alpha of 0.05. Results: Canny algorithm has achieved the significance accuracy of 95.0% when compared to 89.95% of Prewitt algorithm. The Canny algorithm has achieved the significance of ($p < 0.05$) when compared to the prewitt algorithm. Conclusion: In this work it is consolidated that the Canny algorithm has significantly better accuracy when compared with the Prewitt algorithm using Novel Iris Monitoring techniques.