Face recognition has attracted researches not only because faces represent a challenging class of naturally textured 3-D objects, but also because of many applications of automatic face recognition, such as: physical security, crowd surveillance, face reconstruction, and many more. In this paper, an image-based face recognition model is proposed, that verifies human faces by projecting face images onto a feature space that spans the significant variations among known face images, by computing their significant features: Discrete Cosine Transform (DCT). They do not necessarily correspond to features such as eyes, mouth, etc. These “DCT coefficients” composes the feature vector that represents a human face. An average of 98.5% recognition rate is reached on the Olivetti Research Laboratory (ORL) database of facial images [8].
Salama, G. (2007). IMAGE-BASED HUMAN FACE VERIFICATION MODEL. International Conference on Aerospace Sciences and Aviation Technology, 12(ASAT Conference, 29-31 May 2007), 1-10. doi: 10.21608/asat.2007.23987
MLA
Gouda Ismail Salama. "IMAGE-BASED HUMAN FACE VERIFICATION MODEL". International Conference on Aerospace Sciences and Aviation Technology, 12, ASAT Conference, 29-31 May 2007, 2007, 1-10. doi: 10.21608/asat.2007.23987
HARVARD
Salama, G. (2007). 'IMAGE-BASED HUMAN FACE VERIFICATION MODEL', International Conference on Aerospace Sciences and Aviation Technology, 12(ASAT Conference, 29-31 May 2007), pp. 1-10. doi: 10.21608/asat.2007.23987
VANCOUVER
Salama, G. IMAGE-BASED HUMAN FACE VERIFICATION MODEL. International Conference on Aerospace Sciences and Aviation Technology, 2007; 12(ASAT Conference, 29-31 May 2007): 1-10. doi: 10.21608/asat.2007.23987
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