| 基于离散余弦变换和支持向量机的人脸识别研究 |
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| 引用本文： | 彭铁光,张锦. 基于离散余弦变换和支持向量机的人脸识别研究[J]. 信息安全与通信保密, 2007, 0(8): 208-210 |
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| 作者姓名： | 彭铁光 张锦 |
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| 作者单位： | 1. 湖南对外经济贸易职业学院,信息技术系,湖南,长沙,410082
2. 湖南大学,软件学院,湖南,长沙,410082 |
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| 摘 要： | 提出了一种基于图片分割的人脸特征提取方法,该方法利用二维离散余弦变换对每个子图进行分解,并提取其中最具代表性的系数作为该子图的特征,文中构造了一对多的支持向量机作为分类器来识别不同的人脸。基于ORL人脸数据库对算法性能进行了模拟,实验结果表明,所提出的算法实现简单,并具有较好的性能。
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| 关 键 词： | 人脸识别 二维离散余弦变换 支持向量机 |
| 文章编号： | 1002-0802(2007)08-0207-03 |
| 修稿时间： | 2007-06-15 |
Research on Face Recognition Based on Discrete Cosine Transform and Support Vector Machine |
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| PENG Tie-guang,ZHANG Jin. Research on Face Recognition Based on Discrete Cosine Transform and Support Vector Machine[J]. China Information Security, 2007, 0(8): 208-210 |
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| Authors: | PENG Tie-guang ZHANG Jin |
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| Abstract: | Based on image division, a method to extract face image feature is proposed, which uses 2-dimension discrete cosine transform to decompose each sub-image and selects the most representative coefficient to denote the sub-image. 1-to-n support vector machine is constructed as a classifier to recognize different face image. According to ORL face database, the performance of the proposed algorithm is evaluated. Experimental results indicate that the algorithm can be realized easily and is of better performance. |
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| Keywords: | face recognition support vector machines discrete cosine transform |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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