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The Scientific World Journal
Volume 2014 (2014), Article ID 157173, 19 pages
http://dx.doi.org/10.1155/2014/157173
Research Article

Efficient Iris Recognition Based on Optimal Subfeature Selection and Weighted Subregion Fusion

1College of Computer Science and Technology, Jilin University, Changchun 130012, China
2Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China
3College of Software, Nanchang Hangkong University, Nanchang 330063, China
4Internet of Things Technology Institute, Nanchang Hangkong University, Nanchang 330063, China

Received 19 August 2013; Accepted 10 November 2013; Published 10 February 2014

Academic Editors: O. Greevy and S.-S. Liaw

Copyright © 2014 Ying Chen 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 [2 citations]

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

  • Chang-Won Ahn, Jin-Woo Jung, and Mazhar Sajjad, “Iris image enhancement for the recognition of non-ideal iris images,” KSII Transactions on Internet and Information Systems, vol. 10, no. 4, pp. 1904–1926, 2016. View at Publisher · View at Google Scholar
  • Yang Hu, Konstantinos Sirlantzis, and Gareth Howells, “Optimal Generation of Iris Codes for Iris Recognition,” IEEE Transactions on Information Forensics and Security, vol. 12, no. 1, pp. 157–171, 2017. View at Publisher · View at Google Scholar