Performance Monitoring of Novel Iris Detection System using Sobel Algorithm in Comparison with Canny Algorithm by Minimizing the Mean Square Error

The goal of the system is to increase the intensity of image by absolute gradient method with the sobel detection in comparison with the canny algorithm for novel detection systems. Materials and Methods: The image dataset are processed and analyzed using two groups with 30 eye samples. The sobel edge detection algorithm was considered as group 1 and group 2 represents the canny. The G power calculator used for sample identification was done with 80% of power and alpha of 0.05. Results: Sobel algorithm has achieved the significance accuracy of 96.5% when compared to canny algorithm with 87% with the significance of p<0.05. Conclusion: This study says the Sobel algorithm has significantly better accuracy and better intensity when compared to the canny algorithm in novel detection systems.