Rectification of camera captured document images for camera-based OCR technology

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&#...

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Bibliographic Details
Published in2015 13th International Conference on Document Analysis and Recognition (ICDAR) pp. 1226 - 1230
Main Authors Fawzi, Mohamed, Rashwan, Mohsen A., Ahmed, Hany, Samir, Shaimaa, Abdou, Sherif M., Al-Barhamtoshy, Hassanin M., Jambi, Kamal M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2015
Subjects
Approximation algorithms
Approximation methods
Digital Camera Rectification
Digital cameras
Estimation
Geometric Distortion
OCR
Pattern recognition
Perspective Distortion
Shape
Skew
Yttrium
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Summary: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.
DOI:10.1109/ICDAR.2015.7333959