IMAGE-BASED HUMAN FACE VERIFICATION MODEL | ||||
| International Conference on Aerospace Sciences and Aviation Technology | ||||
| Article 66, Volume 12, ASAT Conference, 29-31 May 2007, May 2007, Page 1-10 PDF (764.07 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asat.2007.23987 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Gouda Ismail Salama1, 2 | ||||
| 1Ph.D+ | ||||
| 2EGYPTIAN ARMED FORCES. | ||||
| Abstract | ||||
| 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]. | ||||
| Keywords | ||||
| Image processing; Feature Extraction; Discrete Cosine Transform; Pattern Recognition; Face Recognition | ||||
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