【摘要】 虹膜识别是近年来新兴的生物识别方法 ,它以其简单的算法、快速的识别和极低的错误识别率逐渐应用到一些重要领域。对虹膜识别的 Daugman算法进行了以下改进 :积分微分算子结合梯度分解哈夫变换来定位虹膜 ,利用多通 Gabor滤波提取虹膜特征。有效地克服了 Daugman算法中非散射人工光源引起的亮点效应 ,增强了虹膜识别的实用性和适应性。更多还原

【Abstract】 The biometric authentication technique based on the pattern of a personal iris is to be applied to any access control system requiring a high level of security due to its simple algorithms,fast recognition and low rate of false recognition.The Daugman algorithms used to recognize iris are improved in the following two aspects:1) The iris is located by the combination of Gradient-Decomposed Hough Transform with Integro-Differential Operators:and 2) Characteristics of iris images can be collected by means of a multi-channel gabor filter,which have effectively solved the problem of a bright point effect aroused from non-scattered man-made light in the Daugman algorithms and thus enhanced the usefulness and adaptability of iris recognition.更多还原