- author = "Behzad Bozorgtabar and Farzad Noorian and Rezai Rad {Gholam Ali}",
- title = "A Genetic Programming approach to face recognition",
- booktitle = "IEEE GCC Conference and Exhibition (GCC), 2011",
- year = "2011",
- pages = "194--197",
- address = "Dubai, United Arab Emirates",
- month = feb # " 19-22",
- publisher = "IEEE",
- size = "4 pages",
-
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 used. 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.",
- keywords = "genetic algorithms, genetic programming, data mining, face recognition technology, feature extraction, image group classification, pattern recognition, principal component analysis, relation discovery methodology, data mining, face recognition, feature extraction, image classification, principal component analysis",
-
DOI = "
doi:10.1109/IEEEGCC.2011.5752477",
- notes = "Iran University of Science and Technology Also known as \cite{5752477}",
