Iris Data Indexing Method Using Biometric Features 1

Abstract A biometric system provides identification of an individual based on a unique feature or characteristic possessed by the individual. Among the available biometric identification system, Iris recognition is regarded as the most reliable and accurate one. Demands are increasing to deal with large scale databases in these applications. The Segmentation in boundary detection, edge Mapping, circular Hough Transform, extracting Region of interest (Eyelash and noise removal), circle detection. In a module of Person Identification system using Iris Recognition. The iris recognition system consists of a segmentation that is based on the Hough transform and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes and reflections. The extracted iris region was normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the data from Gabor filters was extracted and quantized to encode the unique pattern of the iris into a biometric template. To improve the efficiency of computational method and accuracy of classification, the Difference metric and subtraction method was employed. It was observed that this method classify the images with better accuracy. The Hamming distance was employed for classification of iris templates. The iris recognition is shown to be a reliable and accurate biometric technology. Keywords Gabor Filter Process, Image Recovery, Iris Biometric, Personal Verification I. Introduction The advances in Information technology and the increasing requirement of security issues have resulted in a rapid development of person identification based on biometrics. Biometric systems have been developed based on fingerprints, facial features, voice, hand geometry, handwriting, the retina, and the one concentrated and presented in this paper, the iris. Iris is regarded as the reliable and accurate technique because iris forms during gestation period itself and remains the same for the rest of one's life and it is unique for individuals. Iris is well protected and extremely difficult to modify. Biometric systems work by first 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, or taking a digital color image for iris recognition. The sample is then transformed using some sort of mathematical function into a biometric template. The biometric template will provide a normalized, efficient and highly discriminating representation of the feature, which can then be objectively compared with other templates in order to determine identity. Most biometric systems allow two modes of operation. An enrolment mode for adding templates to a database, and an identification mode, where a template is created for an individual and then a match is searched for in the database of pre-enrolled templates. A good 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 minimal, stable -so that the feature does not change over time, and be easily captured -in order to provide convenience to the user, and prevent misrepresentation of the feature

The acceptability of iris-based authentication for public domain: An instrumental design

Innovations in terms of technology have always been a continuous process since change is constant.The invention of information technology has made all services to be rendered in an automated manner.Doing this, the prominent aim is to make all services ubiquitous i.e removing all barriers in terms of time and location, a good example of this is the Automated Teller Machine (ATM) service where banking-related services is rendered in public places for universal access.The beauty of such opportunity is not without its associated security problems with the conventional Personal Identification Number (PIN) entry system.This led to the suggestion of iris-based biometric authentication to guarantee maximum authentication security in all domains.This paper discusses the development of the quantitative instrument (questionnaire) for measuring user’s behavioural intention to use iris-based authentication in public places using Unified Theory of Acceptance and Use of Technology (UTAUT) as the underpinning theory.The reliability of the constructs is also discussed