International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438 Volume 4 Issue 6, June 2015 www.ijsr.net Licensed Under Creative Commons Attribution CC BY Iris Recognition System Based On Morphological Bridged Canny Edge Detection and KNN Classifier Shrishti Pardhi 1 , Shahana Gajala Qureshi 2 1 M.Tech. (CSE), RIT College, Raipur CSVTU University, Bhilai, Chhattisgarh, India 2 Asst. Professor, Department of (CSE), RIT College, Raipur CSVTU University, Bhilai, Chhattisgarh, India Abstract: A biometric system provides automatic identification of a character based on a unique feature or attribute possessed by the creature. Iris recognition is breakdown as the most unfailing and accurate biometric identification scheme offered. Most practical iris recognition systems use original algorithms developed by Daugman, and these algorithms are competent to create perfect recognition rates but not includes time requirement in account and extremely suffered when pupil is illuminated with light intensity. Conversely, published results have usually been produced under favorable circumstances. So to build up generalized real time and efficient iris recognition system this work presents a number of serious modifications. This paper proposes a innovative iris recognition system which deals with, not merely the correction to the time constraint as well as deals with higher recognition efficiency requirement with a number of serious modifications in the conventional technique. Keywords: Iris Recognition, Morphological Bridge Canny, KNN Classifier. 1. Introduction A biometric system provides automatic recognition of an human being based on some sort of on its own feature or typical possessed by the character. Biometric systems have been developed based on fingerprints, voice, facial features, hand geometry, handwriting, the retina [1], and the one offered in this thesis, the iris. Biometric systems work by primary capturing a sample of the feature, such as recording a digital sound signal for voice recognition, or taking a digital color image for face recognition. The model is then altered using some sort of mathematical function into a biometric pattern. The biometric pattern will provide a normalized, efficient and highly selective representation of the feature, which can then be neutrally compared with other templates in order to find out uniqueness. Most of the biometric systems permit two modes of operation. An enrolment mode for adding templates to a database, and an identification mode, where a template is formed for an entity and then a match is searched for in the database of pre-enrolled templates. A fine biometric is characterized by use of a feature that is; highly unique – so that the chance of any two people having the same characteristic will be negligible, stable – so that the feature does not change over time, and be easily captured – in order to provide handiness to the user, and prevent perversion of the feature. 2. Brief about Iris Recognition 2.1 The Human Iris Structure and Recognition The iris is a thin circular diaphragm, which lies between the cornea and the lens of the human eye. A front-on view of the iris is given away in Figure 2.1. The iris is perforated secure to its centre by a circular aperture known as the pupil. The function of the iris is to manage the amount of light entering from end to end the pupil, and this is completed by the sphincter and the dilator muscles, which alter the size of the pupil. The regular diameter of the iris is 12 mm, and the pupil size can vary from 10% to 80% of the iris diameter [2]. Figure 2-1: A front-on view of the human eye The iris consists of a number of layers; the lowest is the epithelium layer, which contains dense pigmentation cells. The stromal layer lies above the epithelium layer, and contains blood vessels, pigment cells and the two iris muscles. The density of stromal pigmentation determines the color of the iris. The superficially visible surface of the multi- layered iris contains two zones, which frequently differ in color [3]. An outer ciliary zone and an inner pupillary zone, and these two zones are separated by the collarette, which appears as a zigzag pattern. Formation of the iris begins during the third month of embryonic life [3]. The unique pattern on the surface of the iris is formed during the first year of life, and pigmentation of the stroma takes place for the first little years. Formation of the exclusive patterns of the iris is random and not linked to any genetic factors [4]. The only characteristic that is dependent on genetics is the pigmentation of the iris, which determines its color. Due to the epigenetic nature of iris patterns, the two eyes of an human being contain completely independent iris patterns, and identical twins possess uncorrelated iris patterns. For extra details on the anatomy of the human eye consult the book by Wolff [3]. Paper ID: SUB155377 790