DocumentCode :
1639906
Title :
Multi-Exposure Document Fusion Based on Edge-Intensities
Author :
Block, Marco ; Schaubert, Maxim ; Wiesel, Fabian ; Rojas, RaÙl
Author_Institution :
Inst. fur Inf. und Math., Freie Univ. Berlin, Berlin, Germany
fYear :
2009
Firstpage :
136
Lastpage :
140
Abstract :
This paper presents a new algorithm for fusioning images of text-documents taken with different exposures.It is compared to several standard block oriented exposure- and focus-blending-algorithms.The recognition rate of a publicly available OCR-engine is used as a benchmark to quantify the results.Experiments show in average an improvement in the recognition rate from 0.46 to 0.64 by employing exposure blending as preprocessing step to an OCR. The presented algorithm of blending high-pass filtered images instead of original images further increases the recognition rate to 0.95.
Keywords :
document image processing; image fusion; optical character recognition; OCR-engine; block oriented exposure-algorithm; edge-intensities; focus-blending-algorithm; high-pass filtered images; image fusion; multiexposure document fusion; Algorithm design and analysis; Apertures; Cameras; Focusing; Frequency; Image analysis; Image recognition; Layout; Optical character recognition software; Text analysis; document fusion; exposure blending; ocr;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
ISSN :
1520-5363
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2009.142
Filename :
5277762
Link To Document :
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