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Face Recognition Combining Eigen Features with a Parzen Classifier 被引量：1

Face Recognition Combining Eigen Features with a Parzen Classifier
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摘要 A face recognition scheme is proposed, wherein a face image is preprocessed by pixel averaging and energy normalizing to reduce data dimension and brightness variation effect, followed by the Fourier transform to estimate the spectrum of the preprocessed image. The principal component analysis is conducted on the spectra of a face image to obtain eigen features. Combining eigen features with a Parzen classifier, experiments are taken on the ORL face database. A face recognition scheme is proposed, wherein a face image is preprocessed by pixel averaging and energy normalizing to reduce data dimension and brightness variation effect, followed by the Fourier transform to estimate the spectrum of the preprocessed image. The principal component analysis is conducted on the spectra of a face image to obtain eigen features. Combining eigen features with a Parzen classifier, experiments are taken on the ORL face database.
作者 孙鑫 刘兵 刘本永
机构地区 School of Electronic Engineering
出处 《Journal of Electronic Science and Technology of China》 2005年第1期18-21,共4页 中国电子科技（英文版）
关键词 face recognition Fourier transform principal component analysis Parzen classifier pixel averaging energy normalizing face recognition Fourier transform principal component analysis Parzen classifier pixel averaging energy normalizing
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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Journal of Electronic Science and Technology of China
2005年 第1期

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