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dc.contributor.authorBELBALI, Malika-
dc.contributor.authorKADOURI, Karima-
dc.contributor.authorMAMOUNI, Elmamoun / promoteur-
dc.date.accessioned2019-10-14T09:51:26Z-
dc.date.available2019-10-14T09:51:26Z-
dc.date.issued2016-
dc.identifier.urihttp://www.univ-adrar.dz/:8080/xmlui/handle/123456789/2648-
dc.descriptionRéseaux et systèmes intelligentsen_US
dc.description.abstractThis work focuses on a study of the field of optical recognition of handwritten Arabic words, particularly the recognition off-line. A general study of handwriting recognition systems has been developed and it has been refined with a special interest in a phase considered crucial in the process of recognition this segmentation phase. We presented the vertical projection method as a method of segmentation and neural networks for recognition based on supervised learning.en_US
dc.language.isofren_US
dc.publisherUniversité Ahmed Draïa -Adraren_US
dc.subjectLe neurone biologiqueen_US
dc.subjectLes réseauxen_US
dc.subjectl'Apprentissageen_US
dc.titleReconnaissance de l’écriture arabe manuscrite en utilisant les réseaux neuronauxen_US
dc.typeThesisen_US
Appears in Collections:Mémoires de Master

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