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Resolution-sensitive document image analysis for document repurposing
The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003, 2004The variety of displays used to browse and view images has created a need to adapt an image representation to the size constraints of a given display. In this paper a resolution-sensitive analysis of document images is performed that segments images into text and image regions using document layout analysis and JPEG 2000 header-based processing ...
K. Berkner, E.L. Schwartz
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Two Stream Deep Network for Document Image Classification
IEEE International Conference on Document Analysis and Recognition, 2019This paper presents a novel two-stream approach for document image classification. The proposed approach leverages textual and visual modalities to classify document images into ten categories, including letter, memo, news article, etc.
M. Asim +5 more
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Document analysis by processing JBIG-encoded images
International Journal of Document Analysis and Recognition (IJDAR), 2005Techniques 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
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Document image layout analysis via explicit edge embedding network
Information Sciences, 2021Xing-Jiao Wu +4 more
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MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
arXiv.orgWe introduce MinerU2.5, a 1.2B-parameter document parsing vision-language model that achieves state-of-the-art recognition accuracy while maintaining exceptional computational efficiency.
Jun-Bo Niu +60 more
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New segmentation techniques for document image analysis
Image and Vision Computing, 1995Abstract 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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A fast multifunctional approach for document image analysis
Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., 2003Collinear 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
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Document image analysis with OCRopus
2009 IEEE 13th International Multitopic Conference, 2009Document 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, 1999One 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
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Document image analysis techniques
Machine Vision and Applications, 1992Rangachar Kasturi, Lawrence O'Gorman
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