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Rectification of images for camera based OCR systems / Mohamed Fawzi Abdalrasoul Afifi ; Supervised Mohsen Abdelrazik Rashwan

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohamed Fawzi Abdalrasoul Afifi , 2015Description: 90 P. : charts , facsimiles ; 30cmOther title:
  • تصحيح صور آلات التصوير لتجهيزها لنظم التعرف على الحروف [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 Communications Summary: Optical character recognition (OCR) works with scanners to convert printed characters into digital text. Current advance in camera{u2019}s lens industry introduced the cameras as an alternative to scanner for document image capturing. Compared to scanners, cameras are considered to be more convenient way to capture document images. However, document images captured by camera suffer from problems such non uniform illumination, resolution and distortion which affect the OCR performance. We introduce new techniques to overcome the distortion combined with capturing Arabic document image by camera.
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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.2015.Mo.R (Browse shelf(Opens below)) Not for loan 01010110068003000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2015.Mo.R (Browse shelf(Opens below)) 68003.CD Not for loan 01020110068003000

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

Optical character recognition (OCR) works with scanners to convert printed characters into digital text. Current advance in camera{u2019}s lens industry introduced the cameras as an alternative to scanner for document image capturing. Compared to scanners, cameras are considered to be more convenient way to capture document images. However, document images captured by camera suffer from problems such non uniform illumination, resolution and distortion which affect the OCR performance. We introduce new techniques to overcome the distortion combined with capturing Arabic document image by camera.

Issued also as CD

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