원문정보
초록
영어
Iris recognition is one of important biometric recognition approach in a human identification is becoming very active topic in research and practical application. Iris recognition system consists of localization of the iris region and generation of 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 ormalization 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.
목차
1. Introduction
2. Iris recognition
2.1. Structure of the iris recognition system
2.2. Iris localization
2.3 Iris normalization
3. Neural network based iris pattern recognition
3.1. Neural Network based model
3.2. Parameter learning
4. Experimental results
5. Conclusion
6. References