A Genetic Programming approach to face recognition
Inhaltsverzeichnis
Reference
Behzad Bozorgtabar and Farzad Noorian and Rezai Rad Gholam Ali: A Genetic Programming approach to face recognition. IEEE GCC Conference and Exhibition (GCC), 2011, pp. 194-197, IEEE, February 19-22 2011.
DOI
http://dx.doi.org/10.1109/IEEEGCC.2011.5752477
Abstract
Increasing demand for a fast and reliable face recognition technology has obliged researchers to try and examine different pattern recognition schemes. But until now, Genetic Programming (GP), an acclaimed pattern recognition, data mining and relation discovery methodology, has been neglected in face recognition literature. This paper tries to apply GP to face recognition. First Principal Component Analysis (PCA) is used to extract features, and then GP is used to classify image groups. To further improve the results, a leveraging method is also utilized. It is shown that although GP might not be efficient in its isolated form, a leveraged GP can offer results comparable to other Face recognition solutions.
Extended Abstract
Bibtex
Used References
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