| Issue |
MATEC Web of Conferences
Volume 61, 2016
The International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2016)
|
|
|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 5 | |
| Section | Chapter 2 Electronic Technology and Electrical Engineering | |
| DOI | https://doi.org/10.1051/matecconf/20166102008 | |
| Published online | 28 June 2016 | |
A Narrative Methodology to Recognize Iris Patterns By Extracting Features Using Gabor Filters and Wavelets
1
Pre-final Year, Department of Computer Science & Engineering, Dayananda Sagar College of Engineering, Bangalore, India.
2
Professor, Department of Computer Science & Engineering, Dayananda Sagar College of Engineering, Bangalore, India.
a shristij97@gmail.com
b sindhub1995@gmail.com
c selvamvenkatesan@gmail.com
Iris pattern Recognition is an automated method of biometric identification that uses mathematical pattern-Recognition techniques on images of one or both of the irises of an individual’s eyes, whose complex random patterns are unique, stable, and can be seen from some distance. Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally. In this narrative research paper the input image is captured and the success of the iris recognition depends on the quality of the image so the captured image is subjected to the preliminary image preprocessing techniques like localization, segmentation, normalization and noise detection followed by texture and edge feature extraction by using Gabor filters and wavelets then the processed image is matched with templates stored in the database to detect the Iris Patterns.
Key words: Gabor filters / Near Infrared / Gabor wavelet transform / Hough Transform / Iris patterns / Bit patterns / Hamming Distance
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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