期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2012
卷号：3
期号：2
页码：21
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper, a novel face recognition approach based on wavelet-curvelet technique, is proposed. Thisalgorithm based on the similarities embedded in the images, That utilize the wavelet-curvelet technique toextract facial features. The implemented technique can overcome on the other mathematical image analysisapproaches. This approaches may suffered from the potential for a high dimensional feature space,Therefore it aims to reduce the dimensionality that reduce the required computational power and memorysize. Then the Nearest Mean Classifier (NMC) is adopted to recognize different faces. In this work, threemajor experiments were done. two face databases (MAFD & ORL, and higher recognition rate is obtainedby the implementation of this techniques.
关键词：Face recognition; wavelet transform; curvelet transform; Nearest Mean Classifier.
