Face recognition using a fourier polar based approach

2015 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2015-09-01 DOI:10.1109/IWSSIP.2015.7314211

D. Ishac, Grace Yammine, A. Abche

引用次数: 2

Abstract

In this work, a face recognition approach for human identification is proposed. It is based on the Discrete Fourier Transform of the original spatial image and on the polar mapping of the spectrum of the latter image. While the first step eliminates the translation's effect between faces, the second step minimizes the effect of any face's rotation. The approach is evaluated by studying its performance with other existing techniques using a correlation coefficient as a similarity measure for comparison purposes. Besides, the effect of the number of images used in the training procedure is studied. The results show that the proposed technique outperforms the other techniques and a recognition of 100 percent is possible as the number of training images is increased.

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基于傅里叶极坐标的人脸识别方法

在这项工作中，提出了一种人脸识别的人脸识别方法。它是基于原始空间图像的离散傅里叶变换和后一图像光谱的极坐标映射。第一步消除了面部之间的平移效果，第二步最小化了任何面部旋转的效果。通过使用相关系数作为比较目的的相似性度量，研究该方法与其他现有技术的性能来评估该方法。此外，还研究了训练过程中图像数量的影响。结果表明，该方法优于其他方法，随着训练图像数量的增加，可以达到100%的识别率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 International Conference on Systems, Signals and Image Processing (IWSSIP)

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