| 基于二维Fisher线性判别的人脸耳组合识别 |
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| 引用本文： | 桑海峰. 基于二维Fisher线性判别的人脸耳组合识别[J]. 上海电力学院学报, 2010, 0(4) |
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| 作者姓名： | 桑海峰 |
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| 作者单位： | 沈阳工业大学视觉检测研究所; |
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| 基金项目： | 教育部“春晖计划”科研合作资助项目(Z2005-2-11009); 辽宁省创新团队资助项目(2006T102) |
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| 摘 要： | 针对人脸易受到年龄、表情等影响,提出了脸和耳相结合的组合识别方法。利用二维Fisher线性判别(2DFLD)方法分别进行了脸、耳图像层和特征层的组合识别。在北京科技大学人耳库和ORL人脸库上进行实验,结果表明,图像层组合和特征层组合的识别率分别为97.5%、95.0%,分别比人脸识别提高了12.5%和10.0%,比人耳识别提高了5.0%和2.5%;与同样应用于组合识别的主成分分析(PCA)、二维PCA(2DPCA)比较,也取得了较好识别效果。这说明,多生物特征组合识别是一种有效的识别方法。
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| 关 键 词： | 二维Fisher线性判别(2DFLD) 人脸识别 人耳识别 多生物特征组合识别 |
Combination recognition of face and ear based on two-dimensional fisher linear discriminant |
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| SANG Hai-feng. Combination recognition of face and ear based on two-dimensional fisher linear discriminant[J]. Journal of Shanghai University of Electric Power, 2010, 0(4) |
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| Authors: | SANG Hai-feng |
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| Affiliation: | Computer Vision Institute,Shenyang University of Technology,Shenyang 110870,China |
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| Abstract: | Aiming at the limitation of facial biometrics due to the changes in features caused by age and facial expressions etc,a combination recognition method based on the face and ear is proposed.Two-dimensional fisher linear discriminant(2DFLD) is utilized to carry on the recognition of facial and otic image fusion.By using the BUST ear databased and ORL face database,the experimental results indicate that the combination recognition rate of images fusion and features fusion reaches respectively 97.5% and 95%,whi... |
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| Keywords: | two-dimensional fisher linear discriminant(2DFLD) face recognition ear recognition multi-biological featurs recognition |
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