Biometrická identifikace uživatele pro střelné zbraně

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Pleskotová, Martina

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Vysoká škola báňská - Technická univerzita Ostrava

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Abstract

The essential ways of biometric subjects recognition are defined briefly in the first thesis part. Chosing as optimal recognition technology by user iris for the fire arm application. Describing the self recognition chronology theoretically at first, further following the practical implementation of algorithm in MATLAB programming environment. The image preprocessing and the edges detection by the Canny detector were drawn out in the model algorithm. The iris localization with Hough transformation use whereon the normalization is connected by Daugman Operator and Gabor filter representing coding. Comparison of the final codes acc. to Hamming distance. The usable model appropriate for the next development was created for the subsequent improvement in the practice.

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Import 05/08/2014

Subject(s)

Biometry, Identification, Iris, Gun, Camera, MATLAB, Canny detector, Hough transformation, Daugman´s Algorithm, Gabor filter, Hamming distance

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