| 一种改进的基于遗传算法的人脸识别方法 |
| |
| 引用本文： | 金欢,齐兴敏.一种改进的基于遗传算法的人脸识别方法[J].人天科学研究,2009(6). |
| |
| 作者姓名： | 金欢 齐兴敏 |
| |
| 作者单位： | 江西蓝天学院瑶湖校区计算机系 |
| |
| 摘 要： | 针对常见的基于PCA的人脸识别方法在识别过程中所遇到的计算量大、分类特征不佳等问题,提出了基于遗传算法的PCA+2DPCA的人脸识别方法,并通过实验,利用ORL人脸数据库验证了该方法的可行性。
|
| 关 键 词： | 主成分分析 2维主成分分析 遗传算法 |
An Improved Method of Face Recognition Based on Genetic Algorithm |
| |
| Abstract: | Principal Component Analysis(PCA) and two-dimensional principal component analysis(2DPCA) are two common feature extraction method used in face recognition, But they often meet two problems as big computation quantity and low classification speed when applied to face recognition.In order to solve the two problems, this paper proposes a new approach in combination with PCA, 2DPCA and GA.The experimental results on ORL face database show that this approach is feasible. |
| |
| Keywords: | Principal Component Analysis Two-Dimensional Principal Component Analysis Genetic Algorithm |
| 本文献已被 维普 等数据库收录！ |
|
