Manuscript Number : CSEIT17254
Wavefront Coding for Iris Recognition
Authors(2) :-R. Subha, Dr. M.Pushpa Rani
Iris recognition can offer high-accuracy person identification, particularly when the acquired iris image is well focused. Iris identification is one of the most eye-catching approaches due to its nature of randomness, texture stability over a life time, high entropy density and non-invasive acquisition. While the performance of iris identification on high quality image is well investigated, not too many studies addressed that how iris recognition performs subject to non-ideal image data, especially when the data is acquired in challenging conditions, such as long working distance, dynamical movement of subjects, uncontrolled illumination conditions and so on. This presents the overview of several of Wave front Coding for Iris Recognition.
Research Scholar, Mother Teresa Women's University, Kodaikanal, Tamil Nadu, India
Dr. M.Pushpa Rani
Professor & Head, Department of Computer Science, Mother Theresa Women's University, Tamil Nadu, India
Randomness, Entropy Density, Illumination.
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Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 89-92
Manuscript Number : CSEIT17254
Publisher : Technoscience Academy
URL : http://ijsrcseit.com/CSEIT17254