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