| 基于DCT与改进分块2DPCA算法的人脸识别 |
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| 引用本文： | 路翀,乎西旦,尼亚孜别克,聂东. 基于DCT与改进分块2DPCA算法的人脸识别[J]. 现代计算机, 2011, 0(12): 17-21,28 |
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| 作者姓名： | 路翀 乎西旦 尼亚孜别克 聂东 |
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| 作者单位： | 伊犁师范学院;广东肇庆学院 |
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| 基金项目： | 新疆自然科学基金资助项目(No.2009211A10);新疆高校重点基金资助项目(No.XJEDU2007I36) |
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| 摘 要： | 提出一种离散余弦变换和改进的分块二维主元分析相结合的人脸识别方法。该算法利用DCT压缩人脸图像以去掉人眼不敏感的中频分量与高频分量,这样有效降低所需特征的维数,减少计算量。通过IM2DPCA进行特征提取得到人脸识别特征,运用最近邻分类器完成人脸的识别。在基于ORL、YaleB、CAS-PEAL及Feret人脸数据库的实验结果证明该算法的有效性与稳健性。
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| 关 键 词： | 离散余弦变换 改进的分块二维主元分析 人脸识别 |
Face Recognition Based on DCT and Improved Modular 2DPCA |
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| LU Chong,Huxidan,Niyazibieke,NIE Dong. Face Recognition Based on DCT and Improved Modular 2DPCA[J]. Modem Computer, 2011, 0(12): 17-21,28 |
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| Authors: | LU Chong Huxidan Niyazibieke NIE Dong |
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| Affiliation: | 1.Yili Normal College,Yining 835000;2.Zhaoqing University,Zhaoqing 626051) |
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| Abstract: | Puts forward a new face recognition method based on the combination of Discrete Cosine Transform (DCT) and improved modular Two Dimensional Principal Component Analysis(2DP-CA). Processes a face image by using DCT to take out the sensitive intermediate and high frequency components and reduce the character dimensions and the computation effectively,and the image by using IM2DPCA to obtain the face recognition features.The Nearest Neighbor(NN) classifier is selected to perform face recognition.The experimental results on ORL,YaleB,CAS-PEAL and Feret face database show that this method is robust and efficient in the face recogni- |
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| Keywords: | Discrete Cosine Transform(DCT) Improved Modular Two Dimensional Principal Component Analysis(IM2DPCA) Face Recognition |
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