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Proceedings Paper

Iris indexing based on local intensity order pattern
Author(s): Simina Emerich; Raul Malutan; Septimiu Crisan; Laszlo Lefkovits
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Paper Abstract

In recent years, iris biometric systems have increased in popularity and have been proven that are capable of handling large-scale databases. The main advantage of these systems is accuracy and reliability. A proper iris patterns classification is expected to reduce the matching time in huge databases. This paper presents an iris indexing technique based on Local Intensity Order Pattern. The performance of the present approach is evaluated on UPOL database and is compared with other recent systems designed for iris indexing. The results illustrate the potential of the proposed method for large scale iris identification.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034121 (17 March 2017); doi: 10.1117/12.2268716
Show Author Affiliations
Simina Emerich, Technical Univ. of Cluj Napoca (Romania)
Raul Malutan, Technical Univ. of Cluj Napoca (Romania)
Septimiu Crisan, Technical Univ. of Cluj Napoca (Romania)
Laszlo Lefkovits, Technical Univ. of Cluj Napoca (Romania)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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