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dc.contributor.authorBELALEM, Soumia-
dc.contributor.authorHELIOUA, Aicha-
dc.contributor.authorTIDJANI, Z-
dc.contributor.authorBENSAID, K-
dc.date.accessioned2018-06-10T11:17:53Z-
dc.date.available2018-06-10T11:17:53Z-
dc.date.issued2018-06-10-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/17690-
dc.descriptionPEOPLE'S DEMOCRATIC REPUBLIC OF ALGERIA MINISTRY HIGHER EDUCATION AND SCIENTIFIC RESEARCH KASDI MERBAH UNIVERSITY OUARGLA Faculty of new technologies of information and communication DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATIONSen_US
dc.description.abstractBiometrics based personal identification is regarded as an effective method for automatically recognizing, also his playing an important role in this field. This memorandum presents one of the newer biometric approach to presences identification using palm print technology from a polyU data base, the parameters of the processed image wich belong to the palm print is treated by the fuzzy logic system at the feature extraction level and optimize the obtained result by the gradient method. The experiment is carried out by using MATLAB software.en_US
dc.language.isoenen_US
dc.titleBiometric modality characteristics extraction using Sugeno fuzzy modelen_US
dc.typeOtheren_US
Appears in Collections:Département d'Electronique et des Télécommunications - Master

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