Yaroslav Mudryi National Academy of Law of Ukraine

Kharkiv, Ukraine

Yaroslav Mudryi National Academy of Law of Ukraine

Kharkiv, Ukraine

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Ivanov V.G.,Yaroslav Mudryi National Academy of Law of Ukraine | Lyubarskiy M.G.,Yaroslav Mudryi National Academy of Law of Ukraine | Lomonosov Y.V.,Yaroslav Mudryi National Academy of Law of Ukraine
Journal of Automation and Information Sciences | Year: 2011

The method of compressing images of a text on the basis of formation and classification of vertical elements of the row of symbolic data of the graphical dictionary, obtained at the first phase of automatic classification of symbols, is proposed. This enables one to create the new dictionary of the vertical elements of a row and the map of their location, all of which have a smaller volume than the initial graphical dictionary. The proposed two-phase algorithm of image compression of a text has an advantage of the degree of compression as compared with the JB2 algorithm (DjVu format) about 25 % for resolutions of the text from 200 to 600 dpi. © 2011 by Begell House Inc.


Ivanov V.G.,Yaroslav Mudryi National Academy of Law of Ukraine | Lyubarskiy M.G.,Yaroslav Mudryi National Academy of Law of Ukraine | Lomonosov Yu.V.,Yaroslav Mudryi National Academy of Law of Ukraine
Journal of Automation and Information Sciences | Year: 2010

The method for compression of text images based on new classifying metric the use of which enabled one to decrease essentially (more than twice) the number of classes of characters images is offered and investigated. This made possible to increase the degree of compression by 20 % on average as compared with currently the best algorithm of text images compression IB2 (DjVu). © 2010 by Begell House Inc.

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