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The Scientific World Journal
Volume 2014, Article ID 723595, 9 pages
http://dx.doi.org/10.1155/2014/723595
Research Article

Iris Recognition Using Image Moments and k-Means Algorithm

1School of Science and Technology, University of Management and Technology, Lahore 54000, Pakistan
2Department of Computer Science, AbdulWali Khan University, Mardan 23200, Pakistan
3Faculty of Information Technology, University of Central Punjab, 1-Khayaban-e-Jinnah Road, Johar Town, Lahore 54000, Pakistan
4Department of Mathematics, AbdulWali Khan University, Mardan 23200, Pakistan

Received 11 January 2014; Accepted 19 February 2014; Published 1 April 2014

Academic Editors: Y.-B. Yuan and S. Zhao

Copyright © 2014 Yaser Daanial Khan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [14 citations]

The following is the list of published articles that have cited the current article.

  • Retno Yuli Cristanti, Riyanto Sigit, Tri Harsono, Dyah Ceni Adelina, Anisah Nabilah, and Novita Putri Anggraeni, “Eye gaze tracking to operate android-based communication helper application,” 2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC), pp. 89–94, . View at Publisher · View at Google Scholar
  • Barmak Honarvar Shakibaei, and Peyman Jahanshahi, “Image Deconvolution by Means of Frequency Blur Invariant Concept,” The Scientific World Journal, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Jan Flusser, Tomáš Suk, and Barbara Zitovápp. 1–529, 2016. View at Publisher · View at Google Scholar
  • Deepa, and Sangeetha, “An Efficient Hardware Implementation of Canny Edge Detection Algorithm,” Proceedings of the IEEE International Conference on VLSI Design, vol. 2016-, pp. 457–462, 2016. View at Publisher · View at Google Scholar
  • M. Malathy, and J. Arputha Vijaya Selvi, “2-DWT and AES: Secure Authentication Management for Polar Iris Templates Using Visual Cryptography,” Journal of Testing and Evaluation, vol. 45, no. 2, pp. 20140528, 2016. View at Publisher · View at Google Scholar
  • Hyeonseok Jeong, and Sungyoung Kim, “Shape recognition using combined moment invariants and PCA,” International Journal of Multimedia and Ubiquitous Engineering, vol. 11, no. 11, pp. 155–168, 2016. View at Publisher · View at Google Scholar
  • Muhammad Aizaz Akmal, Nouman Rasool, and Yaser Daanial Khan, “Prediction of N-linked glycosylation sites using position relative features and statistical moments,” Plos One, vol. 12, no. 8, pp. e0181966, 2017. View at Publisher · View at Google Scholar
  • Miles Winter, James Bourbeau, Silvia Bravo, Felipe Campos, Matthew Meehan, Jeffrey Peacock, Tyler Ruggles, Cassidy Schneider, Ariel Levi Simons, and Justin Vandenbroucke, “Particle Identification In Camera Image Sensors Using Computer Vision,” Astroparticle Physics, 2018. View at Publisher · View at Google Scholar
  • Yaser Daanial Khan, Nouman Rasool, Waqar Hussain, Sher Afzal Khan, and Kuo-Chen Chou, “iPhosT-PseAAC: Identify phosphothreonine sites by incorporating sequence statistical moments into PseAAC,” Analytical Biochemistry, 2018. View at Publisher · View at Google Scholar
  • Waqar Hussain, Yaser Daanial Khan, Nouman Rasool, Sher Afzal Khan, and Kuo-Chen Chou, “SPalmitoylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins,” Analytical Biochemistry, 2018. View at Publisher · View at Google Scholar
  • Yaser Daanial Khan, Mehreen Jamil, Waqar Hussain, Nouman Rasool, Sher Afzal Khan, and Kuo-Chen Chou, “pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments,” Journal of Theoretical Biology, 2018. View at Publisher · View at Google Scholar
  • Yaser Daanial Khan, Nouman Rasool, Waqar Hussain, Sher Afzal Khan, and Kuo-Chen Chou, “iPhosY-PseAAC: identify phosphotyrosine sites by incorporating sequence statistical moments into PseAAC,” Molecular Biology Reports, 2018. View at Publisher · View at Google Scholar
  • Asma Ehsan, Khalid Mahmood, Yaser Daanial Khan, Sher Afzal Khan, and Kuo-Chen Chou, “A Novel Modeling in Mathematical Biology for Classification of Signal Peptides,” Scientific Reports, vol. 8, no. 1, 2018. View at Publisher · View at Google Scholar
  • Waqar Hussain, Yaser Daanial Khan, Nouman Rasool, Sher Afzal Khan, and Kuo-Chen Chou, “SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins,” Journal of Theoretical Biology, 2019. View at Publisher · View at Google Scholar