An experimental criterion for face classification

Authors:
Khalid Saeed;Piotr Charkiewicz
Affiliations:
Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland;Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland
Venue:
Enhanced methods in computer security, biometric and artificial intelligence systems
Year:
2005

Citing 4
Cited 0

Variance projection function and its application to eye detection for human face recognition

Pattern Recognition Letters
Face Recognition Using Line Edge Map

IEEE Transactions on Pattern Analysis and Machine Intelligence
Principal Manifolds and Probabilistic Subspaces for Visual Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition using the mixture-of-eigenfaces method

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this work a new algorithm for automatic human face recognition from computer images, is presented. The proposed approach is based on minimal eigenvalues obtained from Toeplitz matrices. The promising results and their relatively high recognition percentage encourage making further studies and modifications to reach more general effective and faster methods for face identification.