An innovative weighted 2 DLDA approach for 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 andthis may bring large error classifi...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Springer
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/21668 |