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dc.contributor.authorKouzani, Abbas
dc.contributor.authorHe, Fangpo
dc.contributor.authorSammut, Karl
dc.date.accessioned2011-12-08T02:30:16Z
dc.date.available2011-12-08T02:30:16Z
dc.date.issued1997
dc.identifier.citationKouzani, A., He, F. and Sammut, K. 1997. Fractal face representation and recognition. 1997 IEEE International Proceedings on Systems, Man, and Cybernetics, vol. 2, 1609 - 1613.en
dc.identifier.issn1062-922X
dc.identifier.urihttp://hdl.handle.net/2328/25836
dc.description.abstractThis paper presents a face representation and recognition scheme based on the theory of fractals. Each face image is represented by its fractal model which is a small collection of transformation parameters. The transformation is carried out once for known face images. For recognition, the input face image is transformed and its fractal model is then compared against the database of fractal models of known faces. Feedforward neural networks are utilised to implement the compression and recognition parts. Some experimental results are presented. The maximum compression ratio obtained for the successful recognition of known faces was observed to be 89:1 (for a compression threshold of 0.002).en
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)en
dc.subjectFace recognitionen
dc.subjectData compressionen
dc.subjectNeural networksen
dc.subjectImage recognitionen
dc.titleFractal face representation and recognitionen
dc.typeArticleen
dc.rights.licenseIn Copyright
local.contributor.authorOrcidLookupHe, Fangpo: https://orcid.org/0000-0002-8656-184Xen_US
local.contributor.authorOrcidLookupSammut, Karl: https://orcid.org/0000-0002-7654-9978en_US


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