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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Spelling suggestions: "subject:"pris aidentification"" "subject:"pris anidentification""

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Iris Biometric Identification Using Artificial Neural Networks

Haskett, Kevin Joseph 01 August 2018 (has links)
A biometric method is a more secure way of personal identification than passwords. This thesis examines the iris as a personal identifier with the use of neural networks as the classifier. A comparison of different feature extraction methods that include the Fourier transform, discrete cosine transform, the eigen analysis method, and the wavelet transform, is performed. The robustness of each method, with respect to distortion and noise, is also studied.
Neural Networks
Eigen Analysis
Discrete Cosine Transform
Wavelet Transform
Classifier
Iris Identification

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