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Document analysis by processing JBIG-encoded images

International Journal of Document Analysis and Recognition (IJDAR), 2005
Techniques are presented to directly process JBIG-encoded document images. Two experimental processing pipelines are designed to evaluate the performance of the methods from the application perspective. They are document segmentation for obtaining the global layout and the form processing system for form type identification and the form dropout.
Emma E. Regentova   +4 more
openaire   +2 more sources

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.
openaire   +1 more source

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

A fast multifunctional approach for document image analysis

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., 2003
Collinear arrangement of objects (such as, text elementsor continuous lines) is integral part of any officedocument image, whether structured or unstructured. Theability to analyze such an organization of objects thusprovides the basic and important building block for aplethora of image analysis applications.
Rohit Kumar 0006   +2 more
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
openaire   +1 more source

Document image analysis techniques

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

Document image analysis: A bibliography

Machine Vision and Applications, 1992
Rangachar Kasturi, Lawrence O'Gorman
openaire   +2 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 classification: Progress over two decades

Neurocomputing, 2021
Taorong Qiu, Qiu Chen
exaly  

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