International Journal of Computer Applications (0975 888) Volume 48No.13, June 2012 5 Advanced Security System using RFID and IRIS Recognition System using ICA, PCA, Daugman’s Rubber Sheet Model Together Pankaj P. Chitte persuing M.E. in Electronics J.N.E.C., Aurangabad,India J. G. Rana HOD & Professor in E & TC Deparment in J.N.E.C. Aurangabad,India Sachin Taware Pravra Rural Engineering College, Loni ABSTRACT Iris recognition is the mean of biometric identification using very large amount of iris database taken without contact to the human body. Basically three main methods are available to process iris data, out of which in this paper, an iris image synthesis method based on Principal Component Analysis (PCA), Independent component analysis (ICA) and Daugman’s rubber sheet model& hybrid model is proposed. Iris Recognition is a most secure biometric authentication that uses pattern-recognition techniques. The video based iris recognition system is used to locate eye and iris, to evaluate degree of occlusion by eyelids, determine the centre & boundary of pupil and outer edge of iris. The measured features are encoded into 512-byte iris code which is further enrolled for identification. Here we compared different techniques i.e. ICA, PCA, Daugman’s rubber sheet model & hybrid model which is combination of all above three along with RFID system. Out of 400 degrees of freedom (measurable variables), 200 features are compared to create the code which can be compared to an entire database in milliseconds. After using lot many algorithms for iris recognition we found that existing system shows, Daugman’s rubber sheet model is better. The comparative study of the various algorithms proposed above shows some interesting results which is the achievement of the practical study on iris recognition. General Terms Iris Recognition, Daugman’s rubber sheet model, Hough Transform, Histogram equalization, Gabor Filters, Gabor Wavelets etc. Keywords RFID, ICA, PCA, Gabber, Iris. 1. INTRODUCTION The different biometric authentication system available in present like fingerprint, face, and thumb are not highly secured & in that duplication is easily possible. That why to increase the security level we have planned to develop system which is combination of IRIS recognition unit and RFID unit. A variety of iris recognition approaches were proposed that can be broadly classified in three categories depending on the method used to extract features from the texture. These categories are: (1) texture-based, (2) appearance-based and (3) feature based extraction. 1.1 Texture-based technique: It makes use of filters for image processing and extract iris features from the filtered images. Daugman’s used Gabor wavelets to extract texture phase structure information of the iris to compute a 256-byte binary iris code. The Hamming distance measure was used to compare the difference between a pair of iris representations. 1.2 Appearance-based technique: This approaches, such as Independent Component Analysis (ICA) and Principal Component Analysis (PCA), attempt to use classical statistical approaches to extract iris features. The PCA is superior in image construction, because it can control construction errors by selecting the cumulative variance. Euclidean-distance and Nearest- Neighborhood (NN) classifier are adopted in these approaches. 1.3 Feature-based extraction techniques: It uses local variations, which are characterized by the appearance and disappearance of an important image structure. A bank of spatial filters is constructed for efficient feature extraction and for matching process. For IRIS recognition we used four different types of models like ICA, PCA, Daugman’s Rubber sheet model & Hybrid model. After comparison of these algorithms we may come to know that which better one is. 2. RFID & IRIS RECOGNITION UNIT Fig.1: Iris Recognition Unit. In this system we are going to observe two output one from RFID & other from one of IRIS recognition system. If both outputs are high then only it will give that person is Signal conditioning unit Display Unit & Alarm RFID section (RX) Arm controller Serial communication IRIS recognition system (ICA, PCA, Daugman’s rubber sheet model, Hybrid) any one Power supply Computer