A novel scheme for face recognition and authentication against pose, illumination and expression changes

Ying Nong Chen, Chin Chuan Han, Cheng Tzu Wang, Kuo Chin Fan

研究成果: 雜誌貢獻期刊論文同行評審

3 引文 斯高帕斯(Scopus)

摘要

In this paper, a novel scheme for face recognition or authentication is proposed against pose, illumination, and expression (PIE) variation using modular face features. A sub-image in low-frequency sub-band is extracted by a wavelet transform (WT) to reduce the image dimensionality. It is partitioned into four parts for representing the local features and reducing the PIE effects, and the small image in a coarse scale is generated via the WT without losing the global face features. Five modular feature spaces were constructed. The most discriminative common vectors in each feature space were found, and a nearest feature space-based (NFS-based) distance was calculated for classification. Finally, a weighted summation is performed to fuse the five distances. Experiments were conducted to show that the proposed scheme is superior to other methods in terms of recognition and authentication rates.

原文???core.languages.en_GB???
頁(從 - 到)369-380
頁數12
期刊Journal of Information Science and Engineering
27
發行號1
出版狀態已出版 - 1月 2011

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