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| 003 | EG-GiCUC | ||
| 005 | 20250223031141.0 | ||
| 008 | 150216s2014 ua f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.13.08.Ph.D.2014.Fa.T | ||
| 100 | 0 | _aFarhan Mohammed Ali Nashwan | |
| 245 | 1 | 0 |
_aTowards holistic technique for a completely Arabic word OCR system / _cFarhan Mohammed Ali Nashwan ; Supervised Mohsen A. Rashwan |
| 246 | 1 | 5 | _aنحو تقنية شاملة لنظام متكامل للتعرف الضوئى على الكلمات العربية |
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_aCairo : _bFarhan Mohammed Ali Nashwan , _c2014 |
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_a105 P. ; _c30cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication | ||
| 520 | _aFirstly, 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 | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aData reduction | |
| 653 | 4 | _aDiscrete cosine transform | |
| 653 | 4 | _aHolistic Arabic word OCR system | |
| 700 | 0 |
_aMohsen Abdalrazk Rashwan , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
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_aNazla _eRevisor |
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_aSamia _eCataloger |
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_2ddc _cTH |
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_c49398 _d49398 |
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