An Efficient Method for Recognition of Human Faces Using Higher Orders Pseudo Zernike Moment Invariant

Authors:
Javad Haddadnia;Majid Ahmadi;Karim Faez
Affiliations:
-;-;-
Venue:
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Year:
2002

Citing 0
Cited 6

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Abstract

This paper introduces a new method for the recognition of human faces in 2-Dimensinal digital images using a new localization of facial information and Pseudo Zernike Moment Invariants (PZMI) as features and Radial Basis Function (RBF) neural network as classifier. In this paper the effect of two parameters in recognition rate improvement are studied. These include the order of the PZMI as well as Facial Candidate Ratio (FCR) of images. The test result are carried out on Olivetti Research Laboratory (ORL) database and a comparative study with two of the existing techniques are included to show the effectiveness of the proposed technique.