Document preprocessing module for optical character recognition / Shaimaa Samir Abu-Elela Mohamed ; Supervised Mohsen Abdelrazik Ali Rashwan
Material type: TextLanguage: English Publication details: Cairo : Shaimaa Samir Abuelela Mohamed , 2017Description: 92 P. : charts , facsimiles ; 30cmOther title:- معالجة الوثائق لأعدادها للتعرف الألى على النصوص [Added title page title]
- Issued also as CD
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.08.M.Sc.2017.Shi.D (Browse shelf(Opens below)) | Not for loan | 01010110072952000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.08.M.Sc.2017.Shi.D (Browse shelf(Opens below)) | 72952.CD | Not for loan | 01020110072952000 |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication Engineering
Optical Character Recognition (OCR) is the process of converting document im- ages into editable text. This enables us to edit and search documents very easily. Document preprocessing of a document image is a very important stage prior to OCR. This thesis presents new line segmentation, image enhancement, and character reconstruction algorithms to improve document preprocessing. Consequently, we can get better results from the OCR system
Issued also as CD
There are no comments on this title.