Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/28795
Title: Deep Learning feutures for aoutomatic Kinship Verification
Authors: BENSID, KHALED
Azzaoui, Mohammed
Defairat, Walid
Keywords: face
kinship
algorithms
الوجه
القرابة
Issue Date: 22-Oct-2020
Publisher: University of Kasdi Merbah Ouargla
Abstract: In this work, we extracted information from the important areas of parents and children that are then compared between father and son. Between father and daughter. Between mother and son or between mother and daughter to know the kinship between them, this is done by applying different algorithms in terms of type (texture, appearance and geometry) because they differ in principle in the KinFaceW-II database that contains 1000 pairs of pictures of parents and children. A logical comparison between these methodologies is one of these methods that can provide the most accurate results regarding our hypothesis, so we concluded that the algorithm gave the best percentage of 90.25%, using Matlab, and this result is encouraging and promising according to the results of recent studies in this regard
Description: Telecommunication system
URI: http://dspace.univ-ouargla.dz/jspui/handle/123456789/28795
Appears in Collections:Département d'Electronique et des Télécommunications - Master

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