Identifikasi Iris Mata Menggunakan Tapis Gabor Wavelet Dan Jaringan Syaraf Tiruan Learning Vector Quantization (LVQ)

Isnanto, R. Rizal (2009) Identifikasi Iris Mata Menggunakan Tapis Gabor Wavelet Dan Jaringan Syaraf Tiruan Learning Vector Quantization (LVQ). TEKNIK, 30 (1). pp. 19-24. ISSN 0852-1697

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Abstract

Biometric represents the human identification method development using natural characteristic of human being as its bases. Every iris has the detail and unique texture, even differ between right and left eye. The eye iris identification process in this research are data acquisition, early processing, feature exctraction and classification. Algorithm used for classification of texture slice the eye is Gabor wavelet filtering, and GHKclassification process of slice the eye texture will be used by a Artificial Neural Network LVQ. Recognition the value of feature vektor in each iris obtained from to the number of right recognition value or the percentage of right one. The best recognition percentage is 87,5

Item Type:Article
Subjects:T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Faculty of Engineering > Department of Computer System
Faculty of Engineering > Department of Computer System
ID Code:5374
Deposited By:Mr. Siskom Admin
Deposited On:25 Jan 2010 09:23
Last Modified:25 Jan 2010 09:23

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