Results 211 to 220 of about 156,133 (264)
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Robust Document Image Binarization Technique for Degraded Document Images
IEEE Transactions on Image Processing, 2013Segmentation of text from badly degraded document images is a very challenging task due to the high inter/intra-variation between the document background and the foreground text of different document images. In this paper, we propose a novel document image binarization technique that addresses these issues by using adaptive image contrast. The adaptive
Shijian Lu, Chew Lim Tan
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Adaptive document image binarization
Pattern Recognition, 2000A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture. The problems caused by noise, illumination and many source type-related degradations are addressed. Two new algorithms are applied to determine a local threshold for each pixel.
M Pietikäinen, J Sauvola
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Segmentation of document images
Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics, 1989Several methods for segmentation of document images are explored. The authors pose the segmentation operation as a statistical classification task with two pattern classes: print and background. A number of classification strategies are available. All require some prior information about the distribution of gray levels for the two classes.
Torfinn Taxt +2 more
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Proceedings of 1st International Conference on Image Processing, 2002
Document image decoding (DID) is a proposed generic framework for document recognition that is based on an explicit communication theory view of the processes of document creation, transmission and interpretation. This paper presents a brief summary of work in DID carried out at the Xerox Palo Alto Research Center over the past several years. >
Gary E. Kopec, Philip A. Chou
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Document image decoding (DID) is a proposed generic framework for document recognition that is based on an explicit communication theory view of the processes of document creation, transmission and interpretation. This paper presents a brief summary of work in DID carried out at the Xerox Palo Alto Research Center over the past several years. >
Gary E. Kopec, Philip A. Chou
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Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002
If it is impossible to capture all the image in one scan with the available equipment, a montage can be made from separately scanned pieces. We describe an automatic mosaicing process for document images. The image shifts are found by a correlation technique, using an image pyramid and sequential similarity to reduce computation time.
Adrian P. Whichello, Hong Yan 0001
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If it is impossible to capture all the image in one scan with the available equipment, a montage can be made from separately scanned pieces. We describe an automatic mosaicing process for document images. The image shifts are found by a correlation technique, using an image pyramid and sequential similarity to reduce computation time.
Adrian P. Whichello, Hong Yan 0001
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Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003
A multichannel filtering-based texture segmentation method is applied to a variety of document image processing problems: text-graphics separation, address-block location, and bar code localization. In each of these segmentation problems, the text context or bar code in the image is considered to define a unique texture.
Anil K. Jain 0001 +2 more
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A multichannel filtering-based texture segmentation method is applied to a variety of document image processing problems: text-graphics separation, address-block location, and bar code localization. In each of these segmentation problems, the text context or bar code in the image is considered to define a unique texture.
Anil K. Jain 0001 +2 more
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Categorizing images in web documents
IEEE Multimedia, 2004The Web provides an increasingly powerful and popular publication mechanism. Web documents often contain a large number of images that serve various purposes. Identifying the functional categories of these images is an important task in Web repurposing.
Jianying Hu, Amit Bagga
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Document categorization for document image understanding
1997In the knowledge-based document image understanding, it is important to distinguish the layout structures of individual documents exactly with a view to making use of adaptable document model. At least, the document models which are characterized heuristically by the application-specific layout structures are not always applicable to every document. In
Hiroyuki Masai, Toyohide Watanabe
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Granulometric analysis of document images
Object recognition supported by user interaction for service robots, 2003We report on new form of multivariate granulometries based on rectangles of varying size and aspect ratio. These granulometries are used for describing visual similarity between document images. Rectangular granulometries are used to probe the layout structure of document images, and the rectangular size distributions derived from them are used as ...
Bagdanov, A. D., Worring, M.
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