Novel techniques for enhancing automatic arabic handwriting recognition /
Hany Ahmed Sayed Mansour
Novel techniques for enhancing automatic arabic handwriting recognition / تقنيات مبتكرة لتحسين التعرف الآلى على الكتابة العربية لخط اليد Hany Ahmed Sayed Mansour ; Supervised Mohsen A. Rashwan , Sherif Abdel Azeem Mohamed - Cairo : Hany Ahmed Sayed Mansour , 2016 - 60 P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication
In this thesis, we present a novel segmentation free Arabic handwriting recognition systems based on hidden Markov model (HMM). Three main contributions are introduced: online Arabic handwriting recognition system, offline Arabic handwriting recognition system and combining the both offline and online systems. Experimental results and Comparisons with state of the art techniques shows that our proposed techniques are robust, effective and competitive
Arabic Offline handwriting Online handwriting
Novel techniques for enhancing automatic arabic handwriting recognition / تقنيات مبتكرة لتحسين التعرف الآلى على الكتابة العربية لخط اليد Hany Ahmed Sayed Mansour ; Supervised Mohsen A. Rashwan , Sherif Abdel Azeem Mohamed - Cairo : Hany Ahmed Sayed Mansour , 2016 - 60 P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication
In this thesis, we present a novel segmentation free Arabic handwriting recognition systems based on hidden Markov model (HMM). Three main contributions are introduced: online Arabic handwriting recognition system, offline Arabic handwriting recognition system and combining the both offline and online systems. Experimental results and Comparisons with state of the art techniques shows that our proposed techniques are robust, effective and competitive
Arabic Offline handwriting Online handwriting