生物特征分析和虹膜识别的二维经验模式分解

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI:10.1109/CIMSA.2010.5611761

C. Guaragnella, A. Manni, F. Palumbo, T. Politi

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引用次数: 1

摘要

提出了一种基于BEMD的虹膜识别系统。特征提取采用多层处理，提高了系统的效率。使用几何描述的细节信息使得虹膜签名在减少假阳性和假阴性发生方面非常有效。初步结果表明，与其他技术相比，BEMD在虹膜识别子系统中具有较高的精度。

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Bidimensional empirical mode decomposition for biometric analysis and Iris recognition

A novel BEMD based Iris recognition system is presented. A multilayer processing for features extraction makes the system efficient. The use of geometrically described details information makes the iris signature very efficient in reducing false positive and false negatives occurrences. Preliminary results of the proposed algorithm seem to indicate BEMD can give high accuracy in iris recognition subsystems in comparison with other techniques.

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2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications

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