Title :
Neural Network Based Biometric Personal Identification
Author :
Abiyev, Rahib H. ; Altunkaya, Koray
Author_Institution :
Dept. of Comput. Eng., Near East Univ., Lefkosa
Abstract :
This paper presents biometric personal identification based on iris recognition using neural networks. Personal identification system consists of localization of the iris region and generation of data set of iris images and then iris pattern recognition. In this paper, 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 is applied for the classification of iris patterns. Results of simulations illustrate the effectiveness of the neural system in personal identification.
Keywords :
biometrics (access control); eye; image classification; image enhancement; image recognition; neural nets; biometric personal identification; eye image; fast algorithm; image enhancement; image representation; iris pattern recognition; iris recognition; neural network; normalization; pattern classification; Biometrics; Data mining; Hamming distance; Humans; Image resolution; Independent component analysis; Iris recognition; Neural networks; Pattern recognition; Wavelet transforms;
Conference_Titel :
Frontiers in the Convergence of Bioscience and Information Technologies, 2007. FBIT 2007
Conference_Location :
Jeju City
Print_ISBN :
978-0-7695-2999-8
DOI :
10.1109/FBIT.2007.24
