Call for Paper - November 2020 Edition
IJCA solicits original research papers for the November 2020 Edition. Last date of manuscript submission is October 20, 2020. Read More

Human Identification based on Iris Recognition for Distant Images

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 45 - Number 16
Year of Publication: 2012
Shweta Arora
Narendra D. Londhe
Anuja Kumar Acharya

Shweta Arora, Narendra D Londhe and Anuja Kumar Acharya. Article: Human Identification based on Iris Recognition for Distant Images. International Journal of Computer Applications 45(16):32-39, May 2012. Full text available. BibTeX

	author = {Shweta Arora and Narendra D. Londhe and Anuja Kumar Acharya},
	title = {Article: Human Identification based on Iris Recognition for Distant Images},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {45},
	number = {16},
	pages = {32-39},
	month = {May},
	note = {Full text available}


Iris Recognition is one of the most powerful biometrically based technologies for human identification and verification that utilizes the iris patterns which exhibits uniqueness for every individual. In this manuscript, a new algorithm is proposed for iris recognition on distant images. The novelty of this algorithm includes recognition through iris patterns based on both the left and right eye of an individual so as to improve the recognition accuracy and computational efficiency. Experimental tests were performed using CASIA Iris Distance Database which a subset of CASIA V4 Database. The methodology found encouraging development in the field of Iris Recognition.


  • R. Wildes. Iris recognition: an emerging biometric technology. Proceedings IEEE, Vol. 85, No. 9, 1997.
  • Y. Zhu, T. Tan, Y. Wang. Biometric personal identification based on iris patterns. Proceedings of the 15th International Conference on Pattern Recognition, Spain, Vol. 2, 2000.
  • L. Flom and A. Safir: Iris Recognition System. U. S. Patent No. 4641394 (1987)
  • J. Daugman. Biometric personal identification system based on iris analysis. United States Patent, Patent Number: 5,291,560, 1994.
  • R. Wildes, J. Asmuth, G. Green, S. Hsu, R. Kolczynski, J. Matey, S. McBride. A system for automated iris recognition. Proceedings IEEE Workshop on Applications of Computer Vision, Sarasota, FL, pp. 121-128, 1994.
  • W. W. Boles, B. Boashah: A Human Identification Technique Using Images of the Iris and Wavelet Transform. IEEE Transaction on Signal Processing Vol. 46, 1185-1188, 1998.
  • J. R. Matey, et al. , "Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments," Proceedings of the IEEE, vol. 94, pp. 1936-1947, 2006.
  • C. Fancourt, et al. , "Iris recognition at a distance," in Audio and Video Based Biometric Person Authentication, Proceedings. vol. 3546, T. Kanade, et al. , Eds. , ed Berlin: Springer-Verlag Berlin, 2005, pp. 1-13.
  • F. Bashir, et al. , "Eagle-Eyes: A System for Iris Recognition at a Distance," in Technologies for Homeland Security, 2008 IEEE Conference on, 2008, pp. 426-431.
  • Libor Masek. Recognition of human iris patterns for biometric identification. Master's thesis, University of Western Australia, 2003. Available from: http://www. csse. uwa. edu. au/$pk/studentprojects/libor/.