基于顺序特征的人脸与掌纹融合身份识别

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI:10.1109/CVPR.2007.383522

R. Chu, Shengcai Liao, Yufei Han, Zhenan Sun, S. Li, T. Tan

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引用次数: 23

摘要

本文提出了一种人脸与掌纹的多模态生物特征识别方法和系统，以提高识别性能。分别对人脸和掌纹构造了基于有序特征的有效分类器。然后，使用多种融合策略对两个分类器的匹配分数进行组合。在中等规模数据集上的实验结果证明了该系统的有效性。

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Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features

In this paper, we present a face and palmprint multimodal biometric identification method and system to improve the identification performance. Effective classifiers based on ordinal features are constructed for faces and palmprints, respectively. Then, the matching scores from the two classifiers are combined using several fusion strategies. Experimental results on a middle-scale data set have demonstrated the effectiveness of the proposed system.

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2007 IEEE Conference on Computer Vision and Pattern Recognition

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