Geometrical Approach for Face Detection and Recognition
Rezq, O., EL-SAYED, A. (2008). Geometrical Approach for Face Detection and Recognition. EKB Journal Management System, 18(1), 38-48. doi: 10.21608/mjeer.2008.65218
Osama Rezq; Ayman EL-SAYED. "Geometrical Approach for Face Detection and Recognition". EKB Journal Management System, 18, 1, 2008, 38-48. doi: 10.21608/mjeer.2008.65218
Rezq, O., EL-SAYED, A. (2008). 'Geometrical Approach for Face Detection and Recognition', EKB Journal Management System, 18(1), pp. 38-48. doi: 10.21608/mjeer.2008.65218
Rezq, O., EL-SAYED, A. Geometrical Approach for Face Detection and Recognition. EKB Journal Management System, 2008; 18(1): 38-48. doi: 10.21608/mjeer.2008.65218

Geometrical Approach for Face Detection and Recognition

Menoufia Journal of Electronic Engineering Research
Article 3, Volume 18, Issue 1, January 2008, Page 38-48  XML
Document Type: Original Article
DOI: 10.21608/mjeer.2008.65218
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Authors
Osama Rezq1; Ayman EL-SAYEDorcid 2
1Physic and Mathematic Department, Faculty of Eng., Helwan University, Egypt
2Dept. of computer science and Eng., Faculty of Electronic Engineering, Menoufya University, EGYPT
Abstract
A method for face detection and recognition using geometrical relationships of faces is presented in this paper. A gray level of image which is thresholded to produce a binary, edged image is required for face detection step then finding the head outline and then extracting it to perform the process of recognition. A pre-processing step will occur to remove the noise effect and to produce the accurate outline of head curve. The system is composed of a face detection stage presented previously which provides good results maintaining a low computational cost. After the integration of the two stages, several improvements are proposed which increase the face detection and recognition rate and the overall performance of the system. Application of these techniques has led to measurements of characteristic features of the human face with sufficient accuracy to merit later inclusion in full package for automated facial recognition. Good results have been obtained.
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