An innovative weighted 2DLDA approach to face recognition
Two Dimensional Linear Discrimination Analysis (2DLDA) is an effective feature extraction approach for face recognition, which manipulates on the two dimensional image matrices directly. However, some between-class distances in the projected space are too small and this may produce a large erroneous...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Springer
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/49372 |