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Recursive projection profiling for text-image separation

Publication Type : Conference Paper

Publisher : Innovations in Computing Sciences and Software Engineering,

Source : Innovations in Computing Sciences and Software Engineering, p.1-5 (2010)

Url :

ISBN : 9789048191116

Keywords : Algorithms, Document images, Empty space, Graphical images, Image processing, Profiling methods, Projection profile, Separation, Simple heuristics, SIMPLE method, Software engineering

Campus : Amritapuri

School : School of Engineering

Department : Computer Science

Year : 2010

Abstract : This paper presents an efficient and very simple method for separating text characters from graphical images in a given document image. This is based on a Recursive Projection Profiling (RPP) of the document image. The algorithm tries to use the projection profiling method [4] [6] to its maximum bent to bring out almost all that is possible with the method. The projection profile reveals the empty space along the horizontal and vertical axes, projecting the gaps between the characters/images. The algorithm turned out to be quite efficient, accurate and least complex in nature. Though some exceptional cases were encountered owing to the drawbacks of projection profiling, they were well handled with some simple heuristics thus resulting in a very efficient method for text-image separation.

Cite this Research Publication : S. Krishnamoorthy, Loganathan, R., and Soman, K. P., “Recursive projection profiling for text-image separation”, in Innovations in Computing Sciences and Software Engineering, 2010, pp. 1-5.

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