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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hu Hongping Li Ruihong Zhou Hanchang |
| Copyright Year | 2011 |
| Description | Author affiliation: Key Laboratory oflnstrumentation, Science & Dynamic Measurement (North University of China), Ministry of Education, Taiyuan 030051, China (Li Ruihong) || Science and Technology on, Electronic Test & Measurement Laboratory, North, University of China, Taiyuan 030051, China (Zhou Hanchang) || Science and Technology on, Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China (Hu Hongping) |
| Abstract | The face recognition algorithms based on singular value decomposition (SVD) have low recognition accuracy due to the common essential defect which singular value vector of arbitrary two face images have the different basis spaces in general. According to this, a weighted adaptive algorithm based on some important partial features is proposed. It normalizes different faces and then locates the features of eyes, nose and mouth with horizontal and vertical projections. Subsequently, local features of the key parts of face are extracted and weighted respectively by singular value to get the feature-matrix. Dynamic method of how to choose the weights of local features and formula of how to obtain the feature-matrix is given. Finally, the developed support vector machine is utilized to recognize faces. Experiments show that the proposed algorithm can not only calculate efficiently and work easily, but also deal with low recognition rate issues in SVD, which shows a good potential of application. |
| Starting Page | 344 |
| Ending Page | 347 |
| File Size | 170628 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424497171 |
| e-ISBN | 9781424497188 |
| DOI | 10.1109/ICCSE.2011.6028650 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-03 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image recognition Singular value decomposion Face recognition Nose Mouth Feature-matrix Feature extraction Face Matrix decomposition |
| Content Type | Text |
| Resource Type | Article |
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