AN EFFICIENT INDEXING SCHEME TO IMPROVE ACCURACY AND SPEED OF IRIS RECOGNITION SYSTEMS

¹ K.M.Rajshree, ² Ms. G.Pramila, ³ Dr.A.Askarunisa, ⁴ Mr.A.Athiraja
¹ PG Student, ² Assistant Professor, ³ Professor & Head, 4 Assistant Professor
Department of Computer Science and engineering, Vickram College Of Engineering, Enathi, Sivagangai, India.

     In video analysis and image processing, the most successful application of iris authentication. In this project, several novel approaches are proposed to improve the overall performance of iris recognition systems. First, to achieve a low rate of eyelash misclassification, a new eyelash detection algorithm based on directional filter is proposed. Second, fusion method proposes a multiscale and multiorientation data method is introduced to reduce the edge effect, and to increase matching criteria. Finally, to accelerate exhausted the search in a huge iris database performed, using an iris indexing method on the basis of corner detection is presented, and matching process is performed by using hamming distance. The performance evaluations are carried out on two popular iris databases (CASIA IRIS INTERVAL) and (CASIA IRIS TWIN), and the test results are experimentally more accurate with less elapsed time compared with most existing methods.