论文标题
在转变的领域中的面部识别
Face recognition in a transformed domain
论文作者
论文摘要
本文提出了基于正面面部图像的生物识别识别的使用离散余弦变换（DCT）而不是特征法（Karhunen-Loeve Transform）。实验结果显示出更好的识别精度和减轻的计算负担。本文包括不同分类器和组合的结果。
This paper proposes the use of a discrete cosine transform (DCT) instead of the eigenfaces method (Karhunen-Loeve Transform) for biometric identification based on frontal face images. Experimental results show better recognition accuracies and reduced computational burden. This paper includes results with different classifiers and a combination of them.
