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Towards holistic technique for a completely Arabic word OCR system / Farhan Mohammed Ali Nashwan ; Supervised Mohsen A. Rashwan

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Farhan Mohammed Ali Nashwan , 2014Description: 105 P. ; 30cmOther title:
  • نحو تقنية شاملة لنظام متكامل للتعرف الضوئى على الكلمات العربية [Added title page title]
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Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication Summary: Firstly, a simple Holistic approach for Arabic OCR is presented to capture total information for the whole Arabic word to reduce the possible vocabulary for the OCR classifier engine. A clustering accuracy of 99.% is achieved through selecting few word candidates (within average 115 words per cluster) from a large lexicon of more than 356K words. This vocabulary size has a good coverage for the Arabic Language. This means that the problem facing the OCR classifier is tremendously reduced, and much higher accuracy can be expected for the OCR systems. Secondly, we have implemented an Arabic OCR system using the Holistic approach. A preliminary Arabic OCR system based on the holistic approach that is font size independent achieved good results
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.Ph.D.2014.Fa.T (Browse shelf(Opens below)) Not for loan 01010110064551000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.Ph.D.2014.Fa.T (Browse shelf(Opens below)) 64551.CD Not for loan 01020110064551000

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication

Firstly, a simple Holistic approach for Arabic OCR is presented to capture total information for the whole Arabic word to reduce the possible vocabulary for the OCR classifier engine. A clustering accuracy of 99.% is achieved through selecting few word candidates (within average 115 words per cluster) from a large lexicon of more than 356K words. This vocabulary size has a good coverage for the Arabic Language. This means that the problem facing the OCR classifier is tremendously reduced, and much higher accuracy can be expected for the OCR systems. Secondly, we have implemented an Arabic OCR system using the Holistic approach. A preliminary Arabic OCR system based on the holistic approach that is font size independent achieved good results

Issued also as CD

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