Master'sOpen Access

Akıllı tanımlama sistemi tabanlıiris deseni tanıma üzerine

2021
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Advisor: Yrd. Doç. Dr. Sefer Kurnaz

Abstract (EN)

The identification process is one of the important processes to achieve safety, which is used daily in many areas such as the attendance system, various Internet or social sites, personal accounts inside banks and other important areas. In this article, the model is a genuine model mode as a marker of the character of the individual suggested on the SIFT technique. To tackle identity theft, poor picture quality, noise and volatility of the ambient world, we have defined the iris patterns and features for each person. The Hamming distance algorithm was used on a dataset of 50 individuals to figure out how close new entrants to the dataset ought to be to a current person's entry. 98% of the value, the bogus assent rate, and the refusal pace of 0.15% and 0.25%, separately, yielded the aftereffects of the application strategy.

Author

Dr. Khalıd Mansoor Abdulazeez Al-rawe

How to Cite

Khalıd Mansoor Abdulazeez Al-rawe (Master Thesis). Akıllı tanımlama sistemi tabanlıiris deseni tanıma üzerine, 2021, Altınbaş University.

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