Abstract
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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Prasanna, C.S.S., Sudha, N., Kamakoti, V. (2004). A Hardware-Directed Face Recognition System Based on Local Eigen-analysis with PCNN. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_49
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DOI: https://doi.org/10.1007/978-3-540-30499-9_49
Publisher Name: Springer, Berlin, Heidelberg
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