Shaimaa Samir Abuelela Mohamed

Document preprocessing module for optical character recognition / معالجة الوثائق لأعدادها للتعرف الألى على النصوص Shaimaa Samir Abu-Elela Mohamed ; Supervised Mohsen Abdelrazik Ali Rashwan - Cairo : Shaimaa Samir Abuelela Mohamed , 2017 - 92 P. : charts , facsimiles ; 30cm

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



Image enhancement Line segmentation Sparse Modeling