Comparison of Phase Only Correlation and Neural Network for Iris Recognition
Yogendra Kumar Jain, Manoj Verma · 2012
This paper compares two different techniques of iris recognition and explains the steps of extracting iris from eye image palette formation and conditioning of palette for matching. The focus of the paper is in finding the suitable method for iris recognition on the basis of recognition time, false detection rate, conditioning time, algorithm complexity, bulk detection, database handling. In this paper comparison has been performed two methods POC (Phase Only Correlation) and Neural Network. Although both methods are practically proven by many researchers, still a comprehensive comparison is missing, we hope that the results drawn in this paper will be helpful for the peoples working in same field; the complete algorithm is developed in Matlab.