International Journal of Computer Applications (0975 – 8887) Volume 24– No.9, June 2011 1 Iris Biometric Recognition for Person Identification in Security Systems ABSTRACT The security is an important aspect in our daily life whichever the system we consider security plays vital role. The biometric person identification technique based on the pattern of the human iris is well suited to be applied to access control and provides strong e-security. Security systems having realized the value of biometrics for two basic purposes: to verify or identify users. In this paper we focus on an efficient methodology for identification and verification for iris detection, even when the images have obstructions, visual noise and different levels of illuminations and we use the CASIA iris database it will also work for UBIRIS Iris database which has images captured from distance while moving a person. Efficiency is acquired from iris detection and recognition when its performance evaluation is accurate. Keywords: Biometrics, Iris identification, occluded images, UBIRIS Iris database. 1. INTRODUCTION Today's e-security are in critical need of finding accurate, secure and cost-effective alternatives to passwords and personal identification numbers (PIN) as financial losses increase dramatically year over year from computer-based fraud such as computer hacking and identity theft [12]. Biometric solutions address these fundamental problems, because an individual's biometric data is unique and cannot be transferred. Biometrics which refers to identifying an individual by his or her physiological or behavioral characteristics has capability to distinguish between authorized user and an imposter. An advantage of using biometric authentication is that it cannot be lost or forgotten, as the person has to be physically present during at the point of identification process [9].Biometrics is inherently more reliable and capable than traditional knowledge based and token based techniques. The commonly used biometric features include speech, fingerprint, face, Iris, voice, hand geometry, retinal identification, and body odor identification [10] as in Figure1 Figure1: Examples of Biometrics To choose the right biometric to be highly fit for the particular situation, one has to navigate through some complex vendor products and keep an eye on future developments in technology and standards. Here comes a list of Biometrics with comparatives: Facial Recognition: Facial recognition records the spatial geometry of distinguishing features of the face. Different vendors use different methods of facial recognition, however, all focus on measures of key features of the face. Facial recognition has been used in projects to identify card counters or other undesirables in casinos, shoplifters in stores, criminals and terrorists in urban areas. This biometric system can easily spoof by the criminals or malicious intruders to fool recognition system or program. Iris cannot be spoofed easily. Palm Print: Palm print verification is a slightly modified form of fingerprint technology. Palm print scanning uses an optical reader very similar to that used for fingerprint scanning; however, its size is much bigger, which is a limiting factor for use in workstations or mobile devices. Signature Verification: It is an automated method of examining an individual’s signature. This technology is dynamic such as speed, direction and pressure of writing, the time that the stylus is in and out of contact with the ―paper‖. Signature verification templates are typically 50 to 300 bytes. Disadvantages include problems with long-term reliability, lack of accuracy and cost. Fingerprint: A fingerprint as in Figure1 recognition system constitutes of fingerprint acquiring device, minutia extractor and minutia matcher. As it is more common biometric recognition used in banking, military etc., but it has a maximum limitation that it can be spoofed easily. Other limitations are caused by particular usage factors such as wearing gloves, using cleaning fluids and general user difficulty in scanning. Iris Scan: Iris as shown in Figure2 is a biometric feature, found to be reliable and accurate for authentication process comparative to other biometric feature available today which is as shown Table1 (a) (b). As a result, the iris patterns in the left and right eyes are different, and so scan be used quickly for both identification and verification applications because of its large number of degrees of freedom. Iris as in Figure 2 is like a diaphragm between the pupil and the sclera and its function is to control the amount of light entering through the pupil. Iris is composed of elastic connective tissue such as trabecular meshwork. The agglomeration of pigment is formed during the first year of life, and pigmentation of the stroma occurs in the first few years Vanaja Roselin.E.Chirchi Ph.D. Research scholar JNT University, Kukatpally, Hyderabad- 500085. AP, India Dr.L.M.Waghmare Professor & Dean (R&D) SGGS institute of Engineering & Technology, Vishnupuri, Nanded-431602, MS, India E.R.Chirchi Asst. Professor, CSE Dept MBES COE. Ambajogai BEED 431517, MS, India