An Improved Algorithm for Efficient Iris Based System

TL;DR: This paper presents an overview of the fundamentals of biometric identification and tries to find out the effect of masking the normalized iris image on recognition rates.

Abstract: Nowadays, many applications require authentication to identify human before giving acce ss to the resources. With new advances in technology, biometric technique of human authentication, which uses the human iris pattern, is well suited. Biometrics intends to identify a user by his/her physical and or/ behavioural characteristics. Among all biometric techniques, 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 masking the normalized iris image on recognition rates. With 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 th e 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, Localization, Normalization, Image Enhancement