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Document image analysis with OCRopus

2009 IEEE 13th International Multitopic Conference, 2009
Document image analysis is the field of converting paper documents into an editable electronic representation by performing optical character recognition (OCR). In recent years, there has been a tremendous amount of progress in the development of open source OCR systems.
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Digital geometric methods in document image analysis

Pattern Recognition, 1999
One of the main tasks of digital image analysis is to recognize the properties of real objects based on their digital images. These images are obtained by some sampling device, like a CCD camera, and are represented as finite sets of points that are assigned some value in a gray level or color scale.
Ari D. Gross, Longin Jan Latecki
openaire   +2 more sources

New segmentation techniques for document image analysis

Image and Vision Computing, 1995
Abstract In this paper, some raster image segmentation techniques are proposed to extract character/graphic pixels from scanned document images. These methods are very efficient in extracting character/graphic pixels from the images with a variety of background types.
N. B. Venkateswarlu, Roger D. Boyle
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Document image analysis techniques

Machine Vision and Applications, 1992
Rangachar Kasturi, Lawrence O'Gorman
openaire   +3 more sources

Document Image Analysis of Salary Payslips

2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech), 2022
Ponlawat Khamlae   +2 more
openaire   +2 more sources

Document image analysis: A bibliography

Machine Vision and Applications, 1992
Rangachar Kasturi, Lawrence O'Gorman
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Two-stage generative adversarial networks for binarization of color document images

Pattern Recognition, 2022
Paul Lukowicz, Sungho Suh, Yong Oh Lee
exaly  

A Hybrid Approach to Document Layout Analysis for Heterogeneous Document Images

2023
Zhuoyao Zhong   +6 more
openaire   +1 more source

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