Proceedings ArticleDOI
Efficient iris recognition method for identification
Rajat Garg,Vikrant Gupta,Vineet Agrawal +2 more
- pp 1-6
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TLDR
Two different approaches for iris identification viz. template matching and average value method are presented.Abstract:
In recent times the security has become a major issue of concern among the people. There is multifold increase in the installation and deployment of security services around the world. The threat starts when an unwanted person tries to obtain access to any place or value. In such a scenario the correct identification of the person is necessary so as to restrict the unidentified people from gaining access. Biometric details of a person offer the possibility of identifying the person very accurately. Iris identification is one such technique. This paper presents two different approaches for iris identification viz. template matching and average value method. Both the methods were tested on variety of images from the available database [1].Template matching is done using NI Vision Assistant 7.1 and NI LabVIEW 7.1. MATLAB 7.4 was used to implement average value method.read more
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Book ChapterDOI
A Survey of Iris Biometrics Research: 2008–2010
TL;DR: This new survey is intended to update the previous one, and covers iris biometrics research over the period of roughly 2008–2010, and lists a larger number of references than the inception-through-2007 survey.
Journal ArticleDOI
Long range iris recognition
TL;DR: This paper reviews the state-of-the-art design and implementation of iris-recognition-at-a-distance (IAAD) systems and presents a complete solution to the design problem of an IAAD system, from both hardware and algorithmic perspectives.
Proceedings ArticleDOI
Real-time eye tracking using a smart camera
TL;DR: A smart camera, LabVIEW and vision software tools are utilized to generate eye detection and tracking algorithms and the implemented algorithms and performance results of these algorithms on the smart camera are presented.
Journal ArticleDOI
Metric-learning-based high-discriminative local features extraction for iris recognition
TL;DR: A new learning-based method is proposed to define and extract rotation- and illumination-invariant main local patterns associated with the iris texture, and the metric-learning-based transform is employed to improve the discrimination of these patterns in recognition process.
References
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Journal ArticleDOI
High confidence visual recognition of persons by a test of statistical independence
TL;DR: A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence, which implies a theoretical "cross-over" error rate of one in 131000 when a decision criterion is adopted that would equalize the false accept and false reject error rates.
Journal ArticleDOI
Iris recognition: an emerging biometric technology
TL;DR: This paper examines automated iris recognition as a biometrically based technology for personal identification and verification from the observation that the human iris provides a particularly interesting structure on which to base a technology for noninvasive biometric assessment.
Proceedings Article
Iris recognition: an emerging biometric technology
Sanjay Ganorkar,Ashok A. Ghatol +1 more
TL;DR: Iris recognition as one of the important method of biometrics-based identification systems and iris recognition algorithm is described and experimental results show that the proposed method has an encouraging performance.
Journal ArticleDOI
Efficient iris recognition by characterizing key local variations
TL;DR: The basic idea is that local sharp variation points, denoting the appearing or vanishing of an important image structure, are utilized to represent the characteristics of the iris.