Construction of a recognition algorithm based on the assessment of the interdependence between local elements of the face image

This study proposes a family (model) of recognition algorithms based on the assessment of the interdependence between local elements of a face image. The main idea of the proposed algorithms is to calculate two-level membership estimates for the considered face image. At the first level, the degree...

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Bibliographic Details
Published in:	Procedia computer science Vol. 234; pp. 131 - 139
Main Authors:	Fazilov, Shavkat, Mirzaev, Olimjon, Radjabov, Sobirjon, Mirzaeva, Gulmira, Rabbimov, Ilyos
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2024
Subjects:	local classifiers local elements of the face image Recognition algorithm local classifiers Recognition algorithm local elements of the face image
ISSN:	1877-0509, 1877-0509
Online Access:	Get full text
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Summary:	This study proposes a family (model) of recognition algorithms based on the assessment of the interdependence between local elements of a face image. The main idea of the proposed algorithms is to calculate two-level membership estimates for the considered face image. At the first level, the degree of belonging of the facial element under consideration (for example, the nose) to the given classes is determined. At the second level, a decision is made whether the considered face image belongs to one of the given classes based on the generalization (integration) of estimates of the belonging of the classified facial elements to the given classes. The proposed algorithms are implemented on the ORL and FERET databases. The implementation of these algorithms improves the accuracy and speed of face recognition.
ISSN:	1877-0509 1877-0509
DOI:	10.1016/j.procs.2024.02.159