17 March 2017 Iris indexing based on local intensity order pattern
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Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034121 (2017) https://doi.org/10.1117/12.2268716
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
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.
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Simina Emerich, Simina Emerich, Raul Malutan, Raul Malutan, Septimiu Crisan, Septimiu Crisan, Laszlo Lefkovits, Laszlo Lefkovits, } "Iris indexing based on local intensity order pattern", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034121 (17 March 2017); doi: 10.1117/12.2268716; https://doi.org/10.1117/12.2268716
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