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Novel techniques for enhancing automatic arabic handwriting recognition / Hany Ahmed Sayed Mansour ; Supervised Mohsen A. Rashwan , Sherif Abdel Azeem Mohamed

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Hany Ahmed Sayed Mansour , 2016Description: 60 P. : charts , facsimiles ; 30cmOther title:
  • تقنيات مبتكرة لتحسين التعرف الآلى على الكتابة العربية لخط اليد [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication Summary: 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
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2016.Ha.N (Browse shelf(Opens below)) Not for loan 01010110073195000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2016.Ha.N (Browse shelf(Opens below)) 73195.CD Not for loan 01020110073195000

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

Issued also as CD

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