Minimum Set of Geometric Features in Face Recognition

Atanasova, Ivana and Percinkova, Biljana (2011) Minimum Set of Geometric Features in Face Recognition. In: Proceedings of the Eighth Conference on Informatics and Information Technology. Institute of Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 32-37. ISBN 978-9989-668-90-6

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Abstract

Biometric technology is often used for verification and identification of individuals and objects. Face recognition requires feature processing and analysis of a particular face. Amongst the most used is the feature – based method. It includes detection of the face region from the digital image, then component detection with feature-selection and finally face identification. This paper develops the idea of a system which identifies a face based on a minimum number of selected features. Predefined number of features was extracted from the basic face components where solely geometrical distances were taken into consideration. Implementing proper analysis and research we showed that minimum 7-feature set is needed for proper face recognition on a small-to-medium face database.

Item Type: Book Section
Uncontrolled Keywords: face recognition, feature-based, Geometric features, Euclidean distance, variable expression
Subjects: International Conference on Informatics and Information Technologies > Intelligent Systems
International Conference on Informatics and Information Technologies > Robotics
International Conference on Informatics and Information Technologies > Bioinformatics
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11134

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