Comparative Study Between Different Rectangle Iris Templates
Autor: | Aqeel A. Al-Hilali, Safaa S. Omran |
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Rok vydání: | 2018 |
Předmět: |
Biometrics
urogenital system Computer science business.industry fungi Iris recognition Feature extraction Normalization (image processing) Pattern recognition Image segmentation urologic and male genital diseases female genital diseases and pregnancy complications medicine.anatomical_structure medicine Segmentation cardiovascular diseases Rectangle Artificial intelligence Iris (anatomy) business |
Zdroj: | 2018 International Conference on Advanced Science and Engineering (ICOASE). |
Popis: | The iris recognition is the best biometric method that used today for distinguish between users. The iris recognition system is providing to distinguish between human based on unique features located inside irises. Ridge-Energy-Direction (RED) algorithm is used for extracting iris features from the rectangle iris template. This research presents comparative between four different ways of choosing iris region of human or identifications and tries to locate the best way among them. These ways are tested on two different databases (CASIA V1 and CASIA Interval). A full design of iris recognition system is made from segmentation, normalization, features extraction, and matching to test these rectangle iris templates. This paper recommends choosing the iris region that near to the pupil likes quarter iris region template, since this iris region template has small sizes among other templates in terms of pixels and gives 100% accuracy in identification and verification. |
Databáze: | OpenAIRE |
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