Neural Network Based Matching Approach for Iris Recognition
نویسنده
چکیده
Iris recognition has been considered as one of the most reliable biometrics technologies in recent years due to its high reliability in person identification. In this paper, an iris recognition system has been proposed. The recognition system relies on four fundamental steps. The first step consists of iris localization using Circular Hough Transform (CHT). In the subsequent step, image is normalized into a fixed dimension. Then normalized image is decomposed by 2-D Haar wavelet and textural features are extracted. Finally, for matching purposes ArtificialNeural Network (ANN) with back propagation is used. Iris recognition is very effective due to iris’ unique features and the protection of the iris from the environment and aging.
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