Enhancing Iris Recognition

ISBN-13: 9783659205040 / Angielski / Miękka / 2012 / 108 str.

Shaaban Sahmoud

Opis

In this book, we propose three techniques to increase the iris recognition robustness and accuracy. First, we propose a new segmentation algorithm to handle iris images were captured on less constrained conditions. This algorithm reduces the error percentage while there are types of noise, such as iris obstructions and specular reflection. The proposed algorithm uses the K-means algorithm, Circular Hough Transform and some new proposed algorithms to detect and isolate noise regions. Second, a study of the effect of the pupil dilation on iris recognition system is performed, in order to show that the pupil dilation degrades iris template and affects the performance of recognition systems. Therefore, a limit of pupil dilation degree is determined. If the degree of pupil dilation exceeds this limit, the iris code will be affected or some of its information will be discarded. This limit can be used to avoid detrimental pupil dilation. Finally, we analyze the iris code bits to determine the consistent and inconsistent bits, and we compare between the inner and outer regions to find which region contains more inconsistent bits.

O autorze

Shaaban A. Sahmoud received the BSc and Master degrees in Computer Engineering in 2006 and 2011 from the Islamic University of Gaza, Palestine. His research interests include computer vision, image processing, pattern recognition and artificial intelligence. He is a Teaching Assistant at the University Collage of Applied Sciences, Palestine.