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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuan-Yuan Huang Jian-Zhang Chen Jian-Ping Li Jian-Ming Liao Ping Kuang |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China (Yuan-Yuan Huang; Jian-Zhang Chen; Jian-Ping Li; Jian-Ming Liao; Ping Kuang) |
| Abstract | This paper proposed a new face recognition method based on texture features of gray-level co-occurrence matrix (GLCM). The feature vector is constructed based on GLCM texture features using hybrid projection function in nonsubsampled contourlet transform domain. The experimental results on CMU PIE database demonstrate the efficacy of the new method. |
| Starting Page | 82 |
| Ending Page | 85 |
| File Size | 514214 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467316842 |
| DOI | 10.1109/ICWAMTIP.2012.6413445 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Gray-level co-occurrence matrix (GLCM) Face recognition Generalized projection function Abstracts Nonsubsampled contourlet transform (NSCT) |
| Content Type | Text |
| Resource Type | Article |
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