TY  - BOOK
AU  - Mohamed Fawzi Abdalrasoul Afifi
AU  - Mohsen Abdelrazik Rashwan  , 
TI  - Rectification of images for camera based OCR systems / 
PY  - 2015///
CY  - Cairo : 
PB  - Mohamed Fawzi Abdalrasoul Afifi , 
KW  - Camera
KW  - Distortion
KW  - OCR
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of  Electronics and Communications; Issued also as CD
N2  - 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
UR  - http://172.23.153.220/th.pdf
ER  -