PROJECT TITLE :

Efficient iris localisation using a guided filter

ABSTRACT:

Biometric information is widely utilized in user identification systems. Iris is one amongst the foremost reliable and correct biometric information. In an iris recognition system, the iris localisation is one the foremost necessary components because the performance of an iris recognition system is very dependent on the accuracy of iris localisation. If unreliable iris regions are used in the iris recognition system, the recognition rate may be degraded. Therefore several researchers have studied the iris localisation ways. Especially, localising an iris region from noisy images is one in all the recent topics in the iris recognition researches. During this study, the authors are concentrating on the iris localisation, where an efficient iris localisation methodology for noisy iris images is proposed. The proposed iris localisation method consists of two steps: pupil boundary localisation and iris boundary localisation. To localise a pupil region, an efficient block-primarily based minimum energy detection technique is employed, in that specular reflection removal is performed as a preprocessing. Iris boundary is localised employing a guided filter, the circular Hough remodel and an ellipse fitting method. Experimental results with various take a look at image sets show the effectiveness of the proposed methodology.