High-speed iris detection and localization based on AdaBoost algorithm
Tianhuai Ding · Journal of Tsinghua University(Science and Technology) · 2008
An iris detection and localization method was developed using the AdaBoost algorithm to overcome the limits of iris detection speeds and localization accuracies with the conventional methods.Based on the space structure properties of iris gray images,three types of Haar-like rectangle features were extracted from which 385 rectangle features with best dividing capacities were selected to construct weak classifiers.The weak classifiers were then combined to build strong classifiers that cascaded a classifier system with 23 layers after training using samples of positive and negative images.Experimental results show that the cascaded classifier system has an average detection speed of 66 frames/s and a positive sample recognition rate of 96%,meeting the real-time requirements of the iris recognition system.Compared with other methods,this method has higher detection speeds and localization accuracies.