| 一种新的DK-L人脸识别算法研究 |
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| 引用本文： | 谢红,宁志刚,刘世航.一种新的DK-L人脸识别算法研究[J].应用科技,2009,36(2):42-45. |
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| 作者姓名： | 谢红 宁志刚 刘世航 |
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| 作者单位： | 哈尔滨工程大学信息与通信工程学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 人脸识别是计算机视觉和模式识别领域的一个活跃课题,有着十分广泛的应用前景.主要研究了人脸识别技术中的人脸特征提取和特征比对技术.在特征分类中,距离测量选择了最佳距离度量最近邻法,提出了一种新颖的测量方法——优中选优,可以使分类器的设计更加简洁、有效,使用较少的特征向量数目就能取得较高的识别率.仿真结果表明了该方法的有效性.
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| 关 键 词： | 人脸识别 特征提取 K-L变换 主分量分析 优中选优 |
New algorithm of DK-L face recognition |
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| XIE Hong,NING Zhi-gang,LIU Shi-hang.New algorithm of DK-L face recognition[J].Applied Science and Technology,2009,36(2):42-45. |
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| Authors: | XIE Hong NING Zhi-gang LIU Shi-hang |
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| Institution: | (College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China) |
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| Abstract: | The face recognition is an active subject in the fields of computer vision and pattern recognition, having a wide range of potential applications. This thesis focuses on the problems of face feature extraction and face compare in face recognition technology. In the feature classification mentioned, the method of the shortest distance, and the nearest neighbor rule are used in distance measurement. The algorithm proposes a novel method of measurement-optimization-selecting the best from the good ones, the Classifier in this algorithm can be simplified to make it more compact and effective, and higher correct recognition rate can be gained using less number of feature vectors. The effectiveness of the approach is experimentally demonstrated. |
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| Keywords: | face recognition feature extraction K-L transform optimization |
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