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Neural Network Based Biometric Personal Identification with Fast Iris Segmentation (Abiyev, Rahib H.,)
Bibliographical information (record 264023)
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Neural Network Based Biometric Personal Identification with Fast Iris Segmentation
Author:
 Abiyev, Rahib H., Search Author in Amazon Books

Publisher:
Inst control robotics & systems,
Edition:
 2009.
Classification:
 TK7882.B56
URL:
http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1007/s12555-009-0103-1
Detailed notes
    - This paper presents the iris recognition system for biometric personal identification using neural network. Personal identification consists of localization of the iris region and generation of a data set of iris images followed by iris pattern recognition. In this paper, a fast algorithm is proposed for the localization of the inner and outer boundaries of the iris region. Located iris is extracted from an eye image, and, after normalization and enhancement, it is represented by a data set. Using this data set a Neural Network (NN) is used for the classification of iris patterns. The adaptive learning strategy is applied for training of the NN. The results of simulations illustrate the effectiveness of the neural system in personal identification.
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Section
EOL-22
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NEU Grand LibraryOnline (TK7882.B56 N48 2009)
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