Automatic Identity Verification Using Face Images.

Authors

Sabry Saraya, Computer & Systems Eng. Dept. Faculty of Engineering Mansoura University., Mansoura.,EgyptFollow
John Zaki, Computer & Systems Eng. Dept. Faculty of Engineering Mansoura University., Mansoura., EgyptFollow

Corresponding Author

Saraya, Sabry

Subject Area

Computer and Control Systems Engineering

Article Type

Original Study

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.

Recommended Citation

Saraya, Sabry and Zaki, John (2020) "Automatic Identity Verification Using Face Images.," Mansoura Engineering Journal: Vol. 30 : Iss. 1 , Article 2.
Available at: https://doi.org/10.21608/bfemu.2020.130302