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Face Recognition Algorithm Based on Fast Computation of Orthogonal Moments
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SYSNO ASEP 0559878 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Face Recognition Algorithm Based on Fast Computation of Orthogonal Moments Author(s) Abdulhussain, S. H. (IQ)
Mahmmod, B. M. (IQ)
AlGhadhban, A. (SA)
Flusser, Jan (UTIA-B) RID, ORCIDNumber of authors 4 Article number 2721 Source Title Mathematics. - : MDPI
Roč. 10, č. 15 (2022)Number of pages 28 s. Publication form Online - E Language eng - English Country CH - Switzerland Keywords face recognition ; orthogonal polynomials ; orthogonal moments ; feature extraction ; block processing Subject RIV JC - Computer Hardware ; Software OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) R&D Projects GA21-03921S GA ČR - Czech Science Foundation (CSF) Method of publishing Open access Institutional support UTIA-B - RVO:67985556 UT WOS 000839688200001 EID SCOPUS 85136800613 DOI 10.3390/math10152721 Annotation Face recognition is required in various applications, and major progress has been witnessed in this area. Many face recognition algorithms have been proposed thus far. however, achieving high recognition accuracy and low execution time remains a challenge. In this work, a new scheme for face recognition is presented using hybrid orthogonal polynomials to extract features. The embedded image kernel technique is used to decrease the complexity of feature extraction, then a support vector machine is adopted to classify these features. Moreover, a fast-overlapping block processing algorithm for feature extraction is used to reduce the computation time. Extensive evaluation of the proposed method was carried out on two different face image datasets, ORL and FEI. Different state-of-the-art face recognition methods were compared with the proposed method in order to evaluate its accuracy. We demonstrate that the proposed method achieves the highest recognition rate in different considered scenarios. Based on the obtained results, it can be seen that the proposed method is robust against noise and significantly outperforms previous approaches in terms of speed. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2023 Electronic address https://www.mdpi.com/2227-7390/10/15/2721
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