| 一种改进的2DPCA方法在人脸识别中的应用 |
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| 引用本文： | 施志刚,姜彬. 一种改进的2DPCA方法在人脸识别中的应用[J]. 苏州大学学报(工科版), 2011, 31(6) |
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| 作者姓名： | 施志刚 姜彬 |
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| 作者单位： | 南通航运职业技术学院管理信息系,江苏南通,226010 |
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| 摘 要： | 为了提高二维主成份分析(2DPCA)方法在人脸识别中的识别率,提出了一种改进的2DPCA和分块图像相结合的人脸识别方法。该方法根据类内图像与该类平均图像的距离,引入加权函数,重新定义2DPCA的总体散布矩阵,并应用到分块图像中,对训练样本子图像采用改进的2DPCA方法进行特征提取,实现模式分类。在ORL标准人脸库上的实验结果表明,它可以有效地提高识别率。
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| 关 键 词： | 二维主成份分析 类内图像 加权 总体散布矩阵 分块图像 特征提取 |
Application of Improved 2DPCA in Face Recognition |
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| Shi Zhigang,Jiang Bin. Application of Improved 2DPCA in Face Recognition[J]. Journal of Suzhou University(Engineering Science Edition), 2011, 31(6) |
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| Authors: | Shi Zhigang Jiang Bin |
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| Affiliation: | Shi Zhigang,Jiang Bin(Department of Management and Information,Nantong Vocational and Technical Shipping College,Nantong 226010,China) |
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| Abstract: | To improve the face recognition rate of two dimension principal component analysis(2DPCA),a modified method of 2DPCA based on modular images is proposed.In this paper,the weights function is introduced to define the total scatter matrix according to the distances between the within-class images and the average of the within-class images.We apply it into the modular images.The improved 2DPCA is used to extract feature in the training sample sub-images for pattern classification.Results of the experiments bas... |
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| Keywords: | 2DPCA within-class images weights total scatter matrix modular images extract feature |
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