Efficient and Enhanced Visual Cryptographic Schemes in Biometric Applications
Anandhi, M. S. Josephine · SSRN Electronic Journal · 2016
Iris Recognition is a highly good at producing an effective biometric identification system for future safety in the security systems to avoid fraudulent use. Iris recognition systems obtain a unique mapping algorithm for each person. And identification of this person can be done by applying the right matching algorithm. In this paper, normalization segmentation is done with canny segmentation technique. With statistical observation of different detection operators is performed and many features are extracted, encoded for classification. And appropriate matching algorithm is used. Discovery of edges may help the image for image segmentation, normalization, data compression. Here we are seeing different edge detection techniques. On making the comparison we can see that canny edge detector acts better than all other edge detectors on different aspects such as give better results for noisy image, remove complexity of the images & adaptive in nature etc. Using least possible curvelets coefficients, we can get up to 100 % accuracy and the time using up of the system is also very low to identify the iris. The Implementation and the discovery of the iris has given better outcomes.