International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869 (O) 2454-4698 (P), Volume-3, Issue-7, July 2015 64 www.erpublication.org Abstract— Now a days, many applications require authentication to identify human before giving access to the resources. With new advances in technology, Biometric system provides automatic identification and authentication based on a certain unique features or characteristics possessed by the individual. Iris recognition is a biometric identification technique that uses pattern recognition on the images of the iris of an individual. Recognition from Iris can be considered as the most accurate biometric methods available due to the unique epigenetic patterns of the iris. Iris recognition stands out as its error rates are lowest. Iris recognition includes eye imaging, localization, normalization, verification etc. This paper presents an overview of the fundamentals of biometric identification and tries to find out the effect of isolation of Eyelid and Eyelash of the normalized iris image on recognition rates. Index Terms—Biometrics; Iris; Authentication; FRR, FAR. I. INTRODUCTION Through the advancement in technology, danger of security breach has also increased. To overcome this, there is a need to design a security system which is fast and very accurate. This system can be designed on two bases: first is data based in which user has to carry some cards or remember passwords, second is biometric based in which identification is done on the basis of physiological, behavioral or chemical characteristics of human body. Systems designed on the basis of human traits like fingerprint, iris, retina etc are known as Biometric Systems. Working of such systems is based on signal and image processing techniques. Biometrics provides more security, as they are difficult to replicate and steal. With the increasing demands of personal/private security iris recognition has become one of the highly reliable biometric technologies as compared to others due to its benefits like less operational time, simplicity in handling and accuracy. The basic of every biometric system is to extract the prominent features from the input signature via image with the application of some wavelet transform, fuzzy logic, neural network etc like algorithms. Biometric system uses two processes namely enrollment and verification to authenticate the identity. During enrolment step, an image is captured by the system and a template is created. These templates are then stored collectively in database. During the verification or authentication step, when a user gives a sample of its biometric data, it is compared with stored template and on the basis of matching score a decision is made. So Iris based biometric security system consists of various steps, that make up an architectural framework, namely Image Acquisition, Gulshan Kumar, Electronics & communication Engineering, Gagan Nath University, Jaipur, Hindustan, 07737669751. Nidhis Tiwary, Electronics & communication Engineering, JNIT, Jaipur, India. Ramesh Bharti, Electronics & communication Engineering, Gagan Nath University, Jaipur, India. Localization, Normalization, and De-noising, Feature Extraction, Encoding and matching process respectively. II. IRIS SYSTEM A. Iris Structure It is believed that that the word iris is taken from the Latin word for rainbow. In some text it also appears that this term was first used in the 16th century, with reference to the colourful part of the eye [4]. The iris is the disk shaped region of the eye bounded by the pupil and the sclera on either side. The pupil is located slightly nasally and inferiorly [2]. Both Iris, which is extremely data-rich physical structure and pupil are covered by a transparent layer known as cornea. Cornea provides physical protection and also limits the amount of light to pass through it after filtering. Iris size varies from person to person but its diameter generally lies between 11mm to 14mm. Formation of iris starts during fatal development, the structures responsible for its pattern are mostly complete by the eight month and in the two years of life it stabilizes completely [2]. Complex Iris pattern can have many unique features such as ridges, crypts, rings, arching ligaments, furrows , corona and a zigzag collarets which makes it inimitable, at the same time it not only differ between right and left eye, but also between the identical twins [1][3]. So it has much distinctive information useful for personal identification. A careful balance of light, focus, resolution and contrast is essential during the extraction of feature vector from localized image. It is extremely difficult to tamper the texture of the iris surgically and Iris also provides higher degrees of freedom. Artificial irises or designer contact lenses can be easily detected as comparisons of measurements taken after few seconds interval will notice a slight change in area of iris region, if the light conditions are adjusted while a contact lens will exhibit zero change and indicate a fake input. These features make Iris recognition system most accurate and problem [1-3]. In early days, iris-based systems required more Efficient Iris Recognition by Improving Acceptance Rate Gulshan Kumar, Nidhish Tiwary, Ramesh Bharti