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NOVEL FACIAL IMAGE RECOGNITION TECHNIQUES EMPLOYINGPRINCIPAL COMPONENT ANALYSIS
| Title: | NOVEL FACIAL IMAGE RECOGNITION TECHNIQUES EMPLOYINGPRINCIPAL COMPONENT ANALYSIS. |
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| Name(s): |
ABDELWAHAB, MOATAZ, Author Mikhael, Wasfy, Committee Chair University of Central Florida, Degree Grantor |
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| Type of Resource: | text | |
| Date Issued: | 2007 | |
| Publisher: | University of Central Florida | |
| Language(s): | English | |
| Abstract/Description: | Recently, pattern recognition/classification has received considerable attention in diverse engineering fields such as biomedical imaging, speaker identification, fingerprint recognition, and face recognition, etc. This study contributes novel techniques for facial image recognition based on the Two dimensional principal component analysis in the transform domain. These algorithms reduce the storage requirements by an order of magnitude and the computational complexity by a factor of 2 while maintaining the excellent recognition accuracy of the recently reported methods. The proposed recognition systems employ different structures, multicriteria and multitransform. In addition, principal component analysis in the transform domain in conjunction with vector quantization is developed which result in further improvement in the recognition accuracy and dimensionality reduction. Experimental results confirm the excellent properties of the proposed algorithms. | |
| Identifier: | CFE0001977 (IID), ucf:47465 (fedora) | |
| Note(s): |
2007-12-01 Ph.D. Engineering and Computer Science, School of Electrical Engineering and Computer Science Doctorate This record was generated from author submitted information. |
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| Subject(s): | Transform Domain 2DPCA | |
| Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFE0001977 | |
| Restrictions on Access: | campus 2008-12-04 | |
| Host Institution: | UCF |
