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Competitive Coding Scheme based on 2D Log-Gabor filter for Palm Vein Recognition

机译:基于2D Log-Gabor滤波器的掌纹识别竞争编码方案

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This paper proposes a novel palm vein recognition method based on a competitive coding scheme using 2D log Gabor filtres. The proposed method consists of two major steps: (i) inspired by the bitwise competitive coding, the feature extraction employs 2D log Gabor filtering where the final feature map is composed by the winning codes of the lowest filters' bank response, and (ii) the matching process uses the Jaccard distance as a metric to capture efficiently the similarities between the feature maps and allowing to make a decision. The experiments carried out on the challenging MS-Polyu database have shown that the proposed method yields a significant performance gains compared to existing state-of-the-art methods.
机译:本文提出了一种基于竞争编码方案的手掌静脉识别方法,该方法采用了二维对数Gabor滤波。所提出的方法包括两个主要步骤:(i)受逐位竞争编码的启发,特征提取采用2D log Gabor滤波,其中最终特征图由最低滤波器响应的获胜代码组成,以及(ii)匹配过程使用Jaccard距离作为度量标准,以有效地捕获特征图之间的相似性并允许做出决策。在具有挑战性的MS-Polyu数据库上进行的实验表明,与现有的最新方法相比,该方法可显着提高性能。

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