Automatic Identity Verification Using Face Images.
Saraya, S., Zaki, J. (2020). Automatic Identity Verification Using Face Images.. EKB Journal Management System, 30(1), 1-8. doi: 10.21608/bfemu.2020.130302
Sabry Fouad Saraya; John Fayez Wanis Zaki. "Automatic Identity Verification Using Face Images.". EKB Journal Management System, 30, 1, 2020, 1-8. doi: 10.21608/bfemu.2020.130302
Saraya, S., Zaki, J. (2020). 'Automatic Identity Verification Using Face Images.', EKB Journal Management System, 30(1), pp. 1-8. doi: 10.21608/bfemu.2020.130302
Saraya, S., Zaki, J. Automatic Identity Verification Using Face Images.. EKB Journal Management System, 2020; 30(1): 1-8. doi: 10.21608/bfemu.2020.130302

Automatic Identity Verification Using Face Images.

MEJ- Mansoura Engineering Journal
Article 2, Volume 30, Issue 1, March 2005, Page 1-8  XML PDF (281.34 K)
Document Type: Research Studies
DOI: 10.21608/bfemu.2020.130302
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Authors
Sabry Fouad Saraya email 1; John Fayez Wanis Zaki2
1Computer & Systems Eng. Dept. Faculty of Engineering Mansoura University., Mansoura.,Egypt
2Computer & Systems Eng. Dept. Faculty of Engineering Mansoura University., Mansoura., Egypt
Abstract
This paper presents two types of identity verification systems based on face images. In the first system principle component analysis (PCA) is used for dimensionality reduction and feature extraction whereas in the second system wavelet transform is used for dimensionality reduction and (PCA) for feature extraction. Two types of classifiers, the Euclidean distance and Angle distance, are used with both systems. Comparative study by computer simulation showed that the addition of wavelet transform before (PCA) provides better performance in the case of Euclidean distance classifier. Moreover, the results obtained by (PCA) are in agreement with those reported in literatures. 
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