DocumentCode :
3695289
Title :
Rectification of camera captured document images for camera-based OCR technology
Author :
Mohamed Fawzi;Mohsen. A. Rashwan;Hany Ahmed;Shaimaa Samir;Sherif M. Abdou;Hassanin M. Al-Barhamtoshy;Kamal M. Jambi
Author_Institution :
Faculty of Engineering, Cairo University, Egypt
fYear :
2015
Firstpage :
1226
Lastpage :
1230
Abstract :
In this work we propose a fully automatic pre-processing technique to enhance the digital camera captured images and rectify the different known types of distortion to improve the performance of OCR applications. Our proposed approach depends on the features of the text lines and letters and doesn´t need any especial equipment. Experimental results on a real mobile digital camera (Samsung Galaxy S2 with 8-MP sensor) captured images demonstrate 10∼16 % enhancement in current commercial Arabic OCR packages
Keywords :
"Estimation","Yttrium","Approximation methods","Approximation algorithms","Shape","Digital cameras","Pattern recognition"
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
Type :
conf
DOI :
10.1109/ICDAR.2015.7333959
Filename :
7333959
Link To Document :
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