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Iris Analysis for Biometric Recognition Systems

Part of the SpringerBriefs in Applied Sciences and Technology Book Series

DOI: 10.1007/978-81-322-1853-1

ISBN: 978-81-322-1852-4

Publisher: Springer India - Springer Journals

May 8, 2014

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Chapter 1Introduction to Iris Recognition

Bodade, Rajesh M.; Talbar, Sanjay N.

Pages: 1 –12

[In today’s networked world, the need to maintain the security of information or physical property is becoming both increasingly important and difficult. Most of the times, criminals have been taking advantage of a fundamental flaw in the conventional access control systems. The access control...
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Chapter 2Related Work

Bodade, Rajesh M.; Talbar, Sanjay N.

Pages: 13 –23

[Compressive literature survey has been carried out and essence of it has been presented in this chapter. It reveals that in 1987, Flom and Safir proposed the first conceptual but unimplemented automated model of Iris recognition system. In 1992, Johnson analyzed Iris images and confirmed its...
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Chapter 3Iris Segmentation

Bodade, Rajesh M.; Talbar, Sanjay N.

Pages: 25 –57

[Two main challenges of iris segmentation of realistic eye images are processing speed and segmentation accuracy which have been addressed through two methods of iris segmentation in this chapter. The first method (using Canny edge detector) is primarily aiming at faster iris segmentation of more...
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Chapter 4Iris Recognition Using Dual-Tree Complex Wavelet Transform and Rotated Complex Wavelet Filters

Bodade, Rajesh M.; Talbar, Sanjay N.

Pages: 59 –104

[Iris is a rich-textured image having randomly oriented singularities (edges) in all directions and frequencies. Hence, Gabor wavelet-based representation of iris images is an excellent solution. However, non-orthogonal band-pass filters tuned to one particular frequency and one particular...
LitStream

Chapter 5Conclusion and Future Scope

Bodade, Rajesh M.; Talbar, Sanjay N.

Pages: 105 –107

[Based on the results of experimentations and its analysis, concrete conclusions have been derived in this chapter. Considering the strengths and weaknesses of proposed algorithms of iris segmentation and feature extraction, important future directions also have been presented in this chapter...

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