Novel efficient approaches for Arabic handwriting recognition / Hesham Mohamed Ibrahim Eraqi ; Supervised Mohsen Abdulraziq Rashwan , Sherif Abdelazeem

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Hesham Mohamed Ibrahim Eraqi

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Material type: Text

TextLanguage: English Publication details: Cairo : Hesham Mohamed Ibrahim Eraqi , 2014Description: 109 P. : plans ; 30cmOther title:

خوارزمات و طرق مبتكرة و فعالة للتعرف الآلى على الكتابة اليدوية باللغة العربية [Added title page title]

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Issued also as CD

Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication Summary: The various challenges of the handwriting recognition problem, on both of its online and offline forms, are addressed. Arabic has been chosen as an example to deploy the novel techniques presented in this thesis. However, most of the concepts of these techniques can be deployed for handwriting recognition of other languages. Complete efficient online and offline handwriting recognition systems that are based on new graphemes segmentation algorithms are introduced. They are based on the local writing direction and the neighborhood geometric characteristics

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Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.08.M.Sc.2014.He.N (Browse shelf(Opens below))		Not for loan	01010110063496000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.08.M.Sc.2014.He.N (Browse shelf(Opens below))	63496.CD	Not for loan	01020110063496000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication

The various challenges of the handwriting recognition problem, on both of its online and offline forms, are addressed. Arabic has been chosen as an example to deploy the novel techniques presented in this thesis. However, most of the concepts of these techniques can be deployed for handwriting recognition of other languages. Complete efficient online and offline handwriting recognition systems that are based on new graphemes segmentation algorithms are introduced. They are based on the local writing direction and the neighborhood geometric characteristics

Issued also as CD

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