Autors: KOCER,H.E., ALLAHVERDI,N.
Title: An Efficient Iris Recognition System Based on Modular Neural Networks
Keywords: Biometric, Iris recognition, Modular Neural Networks

Abstract: In this paper,we propose a neural network based iris recognition approach by analyzing iris patterns.The iris recognition system consists of iris localization,feature extraction and classification of the iris images.Hough transforms were used for localizing the iris region;Cartesian to polar coordinate transform was used for transforming the ring shaped iris image to the rectangular shape.Then,histogram equalization was applied to the iris image for making the shapes in image more distinctive.Average absolute deviation (AAD) algorithm was used for feature extraction in this approach. In matching process, Multi-Layered Perceptron (MLP) and Modular Neural Networks(MNN) are applied to the iris feature vector for classifying the iris images.In fact,this research is focused on measuring the performance of MNN in iris recognition system compared with Multi-Layered Perceptron (MLP) neural network.

References

    Issue

    9th WSEAS International Conference on NEURAL NETWORKS (NN’08), pp. 41-47, 2008, Bulgaria,

    Вид: публикация в национален форум