| 基于APCENN与RBFNN的人脸识别方法研究 |
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| 引用本文： | 王阳萍,党建武,孙传庆.基于APCENN与RBFNN的人脸识别方法研究[J].兰州铁道学院学报,2007,26(1):15-17. |
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| 作者姓名： | 王阳萍 党建武 孙传庆 |
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| 作者单位： | 兰州交通大学电子与信息工程学院 甘肃兰州730070(王阳萍，党建武)，兰州城市学院计算机系 甘肃兰州730070(孙传庆) |
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| 基金项目： | 高等学校博士学科点专项科研项目，甘肃省自然科学基金 |
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| 摘 要： | 提出了将自适应主分量提取神经网络(APCENN)与径向基神经网络(RBFNN)结合进行人脸识别的方法.由于人脸图像维数高,传统主分量分析方法提取人脸主分量运算复杂、速度慢,应用APCENN通过并行运算直接提取人脸主分量,提高了特征提取速度.再通过RBFNN进行识别分类,实验证明网络训练收敛速度快、识别率高.
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| 关 键 词： | 人脸识别 主分量分析 |
| 文章编号： | 1001-4373(2007)01-0015-03 |
| 修稿时间： | 2006-10-30 |
Research on Face Recognition Based on APCENN and RBFNN |
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| Wang Yangping,Dang Jianwu,Sun Chuanqing.Research on Face Recognition Based on APCENN and RBFNN[J].Journal of Lanzhou Railway University,2007,26(1):15-17. |
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| Authors: | Wang Yangping Dang Jianwu Sun Chuanqing |
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| Institution: | 1. School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China; 2. Department of Computer,Lanzhou City University, Lanzhou 730070,China |
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| Abstract: | A method of integrating(APCENN) and(RBFNN) for face recognition is presented.The number of dimensions of face image vector is large,and the algorithm which uses traditional principal component analysis to extract the principal component of face image is slow and complicate.By taking advantage of parallel calculation of APCENN to directly extract principal component,the speed is improved.The output of APCENN is sent to RBFNN for face recognition and classification.Simulations show that training network is fast and the method can reach a high recognition rate. |
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| Keywords: | APCENN RBFNN |
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