Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns
International Journal of Computer Vision
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
WSEAS Transactions on Signal Processing
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The personal identification based on biometric has received much achievement nowadays, iris recognition is regarded as a potential one for its high reliability and accuracy. In iris recognition system, localization of the iris determine the accuracy of the iris recognition result, which also becomes the fundamental preprocessing of iris recognition. In this paper, we present an improved inner and outer iris localization method and a method for iris image quality assessment. For the boundary of an iris can be considered to be circle and the intensity of the pupil distributes equably, this paper presents a geometrical method based on circle vertical bisector intersection points to localize iris inner boundary and the center of the circle. As the boundary of the iris and sclera is usually blurry, the paper also proposes a method based on outer boundary details enhancement and finally the Hough transform operator is carried to localize the outer boundary of iris. Experiment results prove the arithmetic is stable, efficient and speedy.