| 基于Gabor变换与自组织稀疏RAM的N-tuple神经网络的人脸识别方法 |
| |
| 引用本文： | 周兆捷,吴乐南,孙大瑞.基于Gabor变换与自组织稀疏RAM的N-tuple神经网络的人脸识别方法[J].电路与系统学报,2004,9(1):115-118. |
| |
| 作者姓名： | 周兆捷 吴乐南 孙大瑞 |
| |
| 作者单位： | 东南大学,无线电工程系,江苏,南京,210096 |
| |
| 摘 要： | 本文提出了一种采用首先对人脸图像进行Gabor变换，然后由自组织稀疏RAM的N-tuple神经网络进行训练识别的方法，通过大量实验证明，该方法在较少训练样本下条件下，能够取得较高的识别率。
|
| 关 键 词： | 人脸识别 Gabor变换 自组织映射 N-tuple分类器 稀疏分布存储器 |
| 文章编号： | 1007-0249(2004)01-0115-04 |
| 修稿时间： | 2003年7月3日 |
Face Recognition Based on Gabor Transforms and The Approximate Type N-tuple Neural Network with Self-organizing Sparse RAM |
| |
| ZHOU Zhao-jie,WU Le-nan,SUN Da-rui.Face Recognition Based on Gabor Transforms and The Approximate Type N-tuple Neural Network with Self-organizing Sparse RAM[J].Journal of Circuits and Systems,2004,9(1):115-118. |
| |
| Authors: | ZHOU Zhao-jie WU Le-nan SUN Da-rui |
| |
| Abstract: | A face recognition approach based on Gabor transforms and the approximate type N-tuple neural network with self-organizing sparse RAM is presented. At first, the Gabor transforms of face image are used as its feature vectors. Then these feature vectors are input into the approximate type N-tuple neural network with self-organizing sparse RAM to classify these faces. Experimental results demonstrate that the performance of this face recognition method is good only with a few training samples. |
| |
| Keywords: | face recognition self-organizing maps N-tuple classifier sparse distributed memory |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
