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Iris Edge Detection with Bit-Plane Slicing Technique

Published on February 2014 by Kavita Khobragade, K. V. Kale
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National Conference on Recent Advances in Information Technology
Foundation of Computer Science USA
NCRAIT - Number 2
February 2014
Authors: Kavita Khobragade, K. V. Kale
174f5754-77ce-4d93-91c0-0b730a0f3898

Kavita Khobragade, K. V. Kale . Iris Edge Detection with Bit-Plane Slicing Technique. National Conference on Recent Advances in Information Technology. NCRAIT, 2 (February 2014), 27-31.

@article{
author = { Kavita Khobragade, K. V. Kale },
title = { Iris Edge Detection with Bit-Plane Slicing Technique },
journal = { National Conference on Recent Advances in Information Technology },
issue_date = { February 2014 },
volume = { NCRAIT },
number = { 2 },
month = { February },
year = { 2014 },
issn = 0975-8887,
pages = { 27-31 },
numpages = 5,
url = { /proceedings/ncrait/number2/15148-1415/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Advances in Information Technology
%A Kavita Khobragade
%A K. V. Kale
%T Iris Edge Detection with Bit-Plane Slicing Technique
%J National Conference on Recent Advances in Information Technology
%@ 0975-8887
%V NCRAIT
%N 2
%P 27-31
%D 2014
%I International Journal of Computer Applications
Abstract

Today's emerging trend in security systems demands for more authenticate, reliable and fast algorithms to implement biometric system. To deal with the security, physical characteristics like face, iris, fingerprint, etc and behavioral characteristics like DNA, signature, voice etc. , plays an important role than personal identification number (PIN) and passwords. The human physical and behavioral characteristics are the biometrics traits used to achieve security. In this busy world, the identification and / or verification should be fast and efficient. This paper provides the study of iris edge detection using bit plane slicing techniques which helps to extract edges as better iris features and get the better recognition results. It has been observed that Canny's edge detection is computationally more expensive but gives better results. The technique has been tested on CASIA V 1 and it has been observed that the fifth bit plane iris image is better image for feature extraction with Canny Edge Detection.

References
  1. S. Jayaraman, S. Esakkirajan, T. Veerakumar, Digital Image Processing, Tata McGraw Hill publication, 2010.
  2. Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing, Third Edition, Pearson Publication, 2011.
  3. S. Sridhar, Digital Image Processing, Oxford University Press, 2011.
  4. Rajesh M Bodale, Dr. Sanjay N. Talbar, Lt. Shailendra K. Ojha, Iris Recognition using Rotational Complex Wavelet Filters: A Novel Approach, 978-1-4244-3397-1/08, 2008, IEEE.
  5. Jafar M. H. Ali, Aboul Ella Hassanien, An Iris Recognition System to Enhance E-Security Environment Based on Wavelet Theory, Advanced Modeling and Optimization, Vol. 3, No. 2, 2003.
  6. S. V. Sheela, P. A. Vijaya, Iris Recognition Methods – Survey, International Journal of Computer Application, Vol. 3, No. 5, June 2010.
  7. Kavita Khobragade, Study and Comparison of iris Edge Detection Technique, International Journal of Computer Architecture and Mobility, ISSN 2319-9229, Vol-1, ssue 5, March 2013.
  8. Xiaoyan Yuan, Pengfei Shi, Efficient Iris Recognition System based on Iris Anatomical Structure, IEICE Electronics Express, Vol. 4, No. 17, 2007.
  9. Makram Nabti, Ahmed Bouridane, Wavelet Maxima and Moment Invariants Based Iris Feature Extraction, 1-4244-437-7, 2007, IEEE.
  10. Yuanning Liu and Fei He, Yonghua Zhao, Ning Wang, Iris Recognition Based on GHM Multi-wavelet Transformation, 978-0-7695-3873-0/09, 2009, IEEE.
  11. Shailesh Conjeti, Dhiraj Jetwani, Patient Identification Using High Confidence Wavelet based Iris Pattern Recognition, Proceeding of the IEEE-EMBS International, Hong Kong, China, 2012.
  12. Gurdeep Singh Bindra, Arjun Agrawal, Priyanka Sharma, Feature Based Iris Recognition System functioning on Extraction of 2-D Features, International Conference on System Engineering and Technology, Bandung, Indonesia, 2012 IEEE.
  13. N S T Sai, R. C. Patil, Image Retrieval Using Bit-Plane Pixel Distribution, International Journal of Computer Science and Information Technology, Vol. 3, No. 3, June 2011.
  14. Bui Cong Nguyen, Sang Moon Yoon, Heung-Kyu Lee, Multi bit plane Image Steganography, Y. Q. Shi and B. Jeon [Edn. ] IWDW, 2006, Springer.
  15. E. Ardizzone, H. Dindo, G. Mazolla, Restoration of Digitized Damaged Photos Using Bit-Plane Slicing, 1-4244-1017-7/07, 2007, IEEE.
  16. Dr. M. Mohd. Sathik, N. Rabia Shabnam Parveen, Feature Extraction On Colored X-ray Images By Bit-Plane Slicing Technique, International Journal of Engineering Science and Technology, Vol 2(7), 2010, 2820-2824.
  17. CASIA Iris Database URL- http://www. sinobiometrics. com
  18. Masoud Nosrati, Ronak Karimi, Mehdi Hariri, Kamran Malekian Edge Detection Techniques in Processing Digital Images: Investigation of Canny Algorithm and Gabor Method, World Applied Programming, Vol (3), Issue (3), March 2013. 116-12, ISSN: 2222-2510.
  19. Dhanjay Ikhar, Vishwas Deshpande, Sachin Untawale, Implementation of Reliable Open Source IRIS and Applied Research in Mechanical Engineering, Vol 2, Issue 4, 2013.
  20. Raida Hentati, Manel Hentati, Mohamed Abid, Development a new algorithm for Iris Biometric Recognition, International Journal of Computer and Communication Engineering, Vol 1, No. 3, September 2012.
  21. http://nptel. iitm. ac. in/courses/Webcourse-contents/IIT- KANPUR/Digi_Img_Pro/chapter_8/8_13. html
  22. Hanene Guesmi, Hanene Trichili, Adel M. Alimi, Basel Solaiman, Iris Verification Based on Curvelet Transform, 978-1-4673-2795-4/12, IEEE, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Security Biometrics Biometric Authentication Iris Recognition Canny Edge Detection Bit-plane Slicing