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Journal ArticleDOI

A human identification technique using images of the iris and wavelet transform

TLDR
A new approach for recognizing the iris of the human eye is presented, and the resulting one-dimensional signals are compared with model features using different dissimilarity functions.
Abstract
A new approach for recognizing the iris of the human eye is presented. Zero-crossings of the wavelet transform at various resolution levels are calculated over concentric circles on the iris, and the resulting one-dimensional (1-D) signals are compared with model features using different dissimilarity functions.

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Citations
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Proceedings Article

Iris recognition: an emerging biometric technology

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

Personal identification based on iris texture analysis

TL;DR: A bank of spatial filters, whose kernels are suitable for iris recognition, is used to capture local characteristics of the iris so as to produce discriminating texture features and 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.
Journal ArticleDOI

Image understanding for iris biometrics: A survey

TL;DR: This survey covers the historical development and current state of the art in image understanding for iris biometrics and suggests a short list of recommended readings for someone new to the field to quickly grasp the big picture of irisBiometrics.

Recognition of Human Iris Patterns for Biometric Identification

Libor Masek
TL;DR: The work presented in this thesis involved developing an ‘open-source’ iris recognition system in order to verify both the uniqueness of the human iris and also its performance as a biometric.
References
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Journal ArticleDOI

Theory of Edge Detection

TL;DR: The theory of edge detection explains several basic psychophysical findings, and the operation of forming oriented zero-crossing segments from the output of centre-surround ∇2G filters acting on the image forms the basis for a physiological model of simple cells.
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

Zero-crossings of a wavelet transform

TL;DR: An alternative projection algorithm is described that reconstructs a signal from azero-crossing representation, which is stabilized by keeping the value of the wavelet transform integral between each pair of consecutive zero-crossings.
Patent

Iris recognition system.

Flom Leonard, +1 more
TL;DR: In this paper, an image of the iris and pupil is compared with stored image information for identification, which is previously obtained from an eye, the pupil of which was similarly brought to the same predetermined size.
Proceedings ArticleDOI

A system for automated iris recognition

TL;DR: A prototype system for personnel verification based on automated iris recognition and the results of an empirical study where the system exhibits flawless performance in the evaluation of 520 iris images are presented.
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