01245nas a2200277   4500000000100000000000100001008004100002260001200043653002100055653001700076653002800093653002400121653001600145653002300161653002100184653003800205100001900243700002200262700003200284245005900316856009800375300001000473490000600483520046400489022001400953       2017                            d  c12/201710aImage Processing10aSegmentation10aArtificial Intelligence10aMulti-Agent Systems10aRecognition10aFeature Extraction10aArabic Documents10aHandwritten Character Recognition1 aYoussef Boulid1 aAbdelghani Souhar1 aMohamed Elyoussfi Elkettani00aMulti-agent Systems for Arabic Handwriting Recognition  uhttp://www.ijimai.org/journal/sites/default/files/files/2017/04/ijimai20174_6_4_pdf_18367.pdf  a31-320 v43 aThis paper aims to give a presentation of the PhD defended by Boulid Youssef on December 26th, 2016 at University Ibn Tofail, entitled “Arabic handwritten recognition in an offline mode”. The adopted approach is realized under the multi agent paradigm. The dissertation was held in Faculty of Science Kénitra in a publicly open presentation. After the presentation, Boulid was awarded with the highest grade (Très honorable avec félicitations de jury).  a1989-1660