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A hardware-directed face recognition system based on local eigen-analysis with PCNNPublished in
2004
Volume: 3316
Pages: 327 - 332
A new face recognition system based on eigenface analysis on segments of face images is discussed in this paper. The eigenfaces are extracted using principal component neural networks. The proposed recognition system can tolerate local variations in the face such as expression changes and directional lighting. Further, the system can be easily mapped onto the hardware. © Springer-Verlag Berlin Heidelberg 2004.
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About the journal
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| ISSN | 03029743 |
| Open Access | No |
Authors (1)
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Concepts (11)
Hardware- Neural networks
- Principal component analysis
- EIGEN ANALYSIS
- EIGENFACES
- Face images
- FACE RECOGNITION SYSTEMS
- Local variations
- PRINCIPAL COMPONENT NEURAL NETWORKS
- RECOGNITION SYSTEMS
- Face recognition
