%0 Journal Article %T IMAGE-BASED HUMAN FACE VERIFICATION MODEL %J International Conference on Aerospace Sciences and Aviation Technology %I The Military Technical College %Z 2090-0678 %A Salama, Gouda Ismail %D 2007 %\ 05/01/2007 %V 12 %N ASAT Conference, 29-31 May 2007 %P 1-10 %! IMAGE-BASED HUMAN FACE VERIFICATION MODEL %K Image processing %K Feature Extraction %K Discrete Cosine Transform %K Pattern Recognition %K Face Recognition %R 10.21608/asat.2007.23987 %X 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]. %U https://asat.journals.ekb.eg/article_23987_0e6f7c91c424eecfd17e8953ce7854fa.pdf