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- W2372661688 abstract "The present paper presents an iris detection and localization method based on AdaBoost algorithm and neural networks with local interconnection structures to overcome the limits in the current iris detection and localization algorithms.It has following features: according to the features of the iris image,we(designed) a set of local interconnection neural networks iris classifiers with different receptive fields and different complexity;we used AdaBoost algorithm to integrate neural networks classifiers to generate a chief classifier with powerful iris detection ability;cascade connection structure was applied to increasing the detection speed.Experimental results show that this algorithm has a very high detection accuracy and speed.It can solve the iris detection and localization problems efficiently in the case of with large face region and those of cataract patients." @default.
- W2372661688 created "2016-06-24" @default.
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- W2372661688 date "2006-01-01" @default.
- W2372661688 modified "2023-09-24" @default.
- W2372661688 title "Fast Iris Detection and Localization Algorithm Based on AdaBoost Algorithm and Neural Networks" @default.
- W2372661688 hasPublicationYear "2006" @default.
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