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    • 1. 发明授权
    • Iris recognition method utilizing matching pursuit algorithm
    • 虹膜识别方法利用匹配追踪算法
    • US07920724B2
    • 2011-04-05
    • US11603031
    • 2006-11-22
    • Wen-Gang CheJian-Liang LinWen-Liang HwangChung-Ling Huang
    • Wen-Gang CheJian-Liang LinWen-Liang HwangChung-Ling Huang
    • G06K9/00
    • G06K9/0061
    • The present invention disclose an iris recognition method, which utilizes a matching pursuit algorithm to simplify the extraction and reconstruction of iris features and reduce the memory space required by each iris feature vector without the penalty of recognition accuracy. The iris recognition method of the present invention comprises an iris-localization component and a pattern matching component. The iris-localization component locates the iris region via the color difference between different portions of the eyeball. The primary iris features are extracted from iris information and transformed into a sequence of iris feature vectors by a matching pursuit algorithm. Thus, the iris image can be represented by a sequence of atoms, and each atom contains base, amplitude and location. Then, the comparison between the feature vectors of two irises is performed to determine whether the two irises match.
    • 本发明公开了一种虹膜识别方法,其利用匹配追踪算法来简化虹膜特征的提取和重建,并减少每个虹膜特征向量所需的存储空间,而不会损失识别精度。 本发明的虹膜识别方法包括虹膜定位部件和图案匹配部件。 虹膜定位组件经由眼球的不同部分之间的色差定位虹膜区域。 主要虹膜特征从虹膜信息中提取,并通过匹配追踪算法转换成虹膜特征向量序列。 因此,虹膜图像可以由原子序列表示,并且每个原子包含碱基,幅度和位置。 然后,执行两个虹膜的特征向量之间的比较,以确定两个虹膜是否匹配。