Investigation and Analysis of Hough-DCT- Hamming Distance Based Method of Iris Recognition
نویسنده
چکیده
As we know that iris recognition is widely used biometric identification system. This system is having growing future in the area of security. In the real time security systems we need to have reliable, efficient, faster iris recognition system. Iris recognition process is consisting of iris segmentation, normalization, localization as well as matching techniques. And hence the performance of this system is majorly depends on use of such techniques. In this paper we will first present the literature review over the different methods for iris segmentation, iris encoding as well matching. Thereafter, we will present the experimental evaluation of Hough-DCT-Hamming distance based Iris Recognition system. We simulated this approach using MATLAB and different datasets.
منابع مشابه
Iris recognition and feature extraction in iris recognition System by employing 2D DCT
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Biometric system is a reliable and highly accurate system for identification of individuals. Iris recognition system is a relatively new biometric system which produces better results in comparison with other biometric systems. The work presented i...
متن کاملA New IRIS Segmentation Method Based on Sparse Representation
Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...
متن کاملA New IRIS Segmentation Method Based on Sparse Representation
Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...
متن کاملMinutiae points Extraction from Iris for Biometric Cryptosystem
Iris recognition is a proven, accurate means to identify people.An efficient method for personal identification based on the pattern of human iris is proposed in this paper. Crypto-biometrics is an emerging architecture where cryptography and biometrics are merged to achieve high level security systems. Iris recognition is a method for biometric authentication that uses pattern-recognition tech...
متن کاملRobust Iris Recognition in Unconstrained Environments
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by him/her. Iris recognition (IR) is known to be the most reliable and accurate biometric identification system. The iris recognition system (IRS) consists of an automatic segmentation mechanism which is based on the Hough transform (HT). This paper presents a robust IRS i...
متن کامل