A 2- Dimensional Gabor-Filters for Face Recognition System: A Survey

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dc.contributor.authorAro, Taye Oladele
dc.contributor.authorOluwade, Bamidele A
dc.contributor.authorAbikoye, Oluwakemi Christiana
dc.contributor.authorBajeh, Amos Orenyi
dc.date.accessioned2018-03-19T14:33:57Z
dc.date.available2018-03-19T14:33:57Z
dc.date.issued2017
dc.description.abstractAn efficient recognition algorithm for human face is a technique discovered to be based on good facial feature representation. A two-dimensional Gabor represents a group of wavelets which capture optimally frequency information and local orientation from a digital image. Gabor filters have been employed greatly and highly considered to be one of the best performing techniques for feature extraction in face recognition owing to its invariant against local distortion initiated by changes in expression, lighting and pose. This paper discusses some reviews on 2-Dimensional Gabor-based facial recognition techniques. The huge feature dimensionality problem associated with Gabor feature is stated and several techniques to reduce this problem are suggested.en_US
dc.identifier.citationAro. T.O., Oluwade, B.A. , Abikoye, O.C. & Bajeh, A.O. (2017): A 2- Dimensional Gabor-Filters for Face Recognition System: A Survey. Anale. Seria Informatică( Annals. Computer Science Series ). 15(1); 104-112, Published by Faculty of Computers and Applied Computer Science, "Tibiscus" University of Timişoara, Romania.en_US
dc.identifier.urihttp://www.anale-informatica.tibiscus.ro/download/lucrari/15-1-13-Aro.pdf
dc.identifier.urihttp://hdl.handle.net/123456789/127
dc.language.isoenen_US
dc.publisherFaculty of Computers and Applied Computer Science, "Tibiscus" University of Timişoara, Romania.en_US
dc.subjectGabor-filtersen_US
dc.subjectdimensionalityen_US
dc.subjectface recognitionen_US
dc.subjectfeature extractionen_US
dc.subjectwaveletsen_US
dc.subjectGabor feature,en_US
dc.titleA 2- Dimensional Gabor-Filters for Face Recognition System: A Surveyen_US
dc.typeArticleen_US

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