Iris indexing based on local intensity order pattern

17 March 2017 Iris indexing based on local intensity order pattern

Simina Emerich, Raul Malutan, Septimiu Crisan, Laszlo Lefkovits

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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, Raul Malutan, Septimiu Crisan, and 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); https://doi.org/10.1117/12.2268716

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KEYWORDS

Iris recognition

Databases

Biometrics

Iris

Binary data

Eye

Feature extraction

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