基于城市街区和马氏余弦距离的人脸识别

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI:10.1109/CGIV.2016.30

A. Abbad, K. Abbad, H. Tairi

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引用次数: 5

摘要

为了提高人脸识别算法的性能，本文提出了一种新的强大的人脸识别方法。在我们的想法中，我们整合了两个不同的度量，即城市街区和马氏余弦距离。实验分别在ORL数据库和YALE数据库上进行。结果表明，与文献中的其他方法相比，所提出的技术是有趣的。

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Face Recognition Based on City-Block and Mahalanobis Cosine Distance

In this paper we propose a new powerful face recognition method to increase the performance of face recognition algorithms. In our idea we integrate two dissimilarity measures namely City-block and Mahalanobis Cosine distance. The experiments are performed on the ORL database and YALE database. The results indicate the interest of the proposed technique compared to others methods of literature.

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2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)

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