| 人脸图像有效鉴别特征抽取与识别 |
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| 引用本文： | 杨静宇,金忠,郭跃飞.人脸图像有效鉴别特征抽取与识别[J].南京理工大学学报(自然科学版),2000,24(3):193-198. |
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| 作者姓名： | 杨静宇 金忠 郭跃飞 |
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| 作者单位： | 南京理工大学计算机科学与技术系,南京,210094 |
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| 基金项目： | 国家自然科学基金资助项目! (6 96 72 0 13) |
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| 摘 要： | 基于具有统计不相关性的最优鉴别变换，分析了小样本识别问题，提出了抽取人脸图像有效鉴别特征方法，在Ｏｌｉｖｅｔｔｉ Ｒｅｓｅａｒｃｈ Ｌａｂｏｒａｔｏｒｙ（ＯＲＬ）人脸图像库上得到了平均识别错误率为２．７５％的实验结果，这是目前在ＯＲＬ人脸图像数据库上所得到的最好的实验结果，并在南京理工大学ＮＵＳＴ６０３人脸图像库上得到平均识别错误率为０．９％，的实验结果，这些结果表明所提出的人脸图有效鉴别特征方法
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| 关 键 词： | 模式识别 特征抽取 图像处理 人脸识别 |
| 修稿时间： | 1999－11－08 |
Efficient Discriminant Feature Extraction and Recognition of Face Images |
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| YangJingyu,JinZhong,GuoYuefei.Efficient Discriminant Feature Extraction and Recognition of Face Images[J].Journal of Nanjing University of Science and Technology(Nature Science),2000,24(3):193-198. |
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| Authors: | YangJingyu JinZhong GuoYuefei |
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| Abstract: | Based on the uncorrelated optimal discriminant transformation, the recognition problem in the case of a small number of samples was analyzed and a new method was proposed to extract efficient discriminant features for face images. An average error rate of 2.75% was obtained by experiments on Olivetti Research Laboratory (ORL) database,which is the best result on this database up to now. Moreover, an average error rate of 0.9% was obtained with the experiments on the database. These experimental results show that the new feature extract method is very effective. |
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| Keywords: | pattern recognition feature extraction image processing face recognition |
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