Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39284
Title: An improved and efficient rotation invariant thinning algorithm for binary document images
Authors: Manjunath Aradhya, V.N.
Hemantha Kumar, G.
Shivakumara, P. 
Keywords: Document image analysis
Optical character recognition
Rotation invariant
Skeletonization
Thinning
Issue Date: 2008
Source: Manjunath Aradhya, V.N.,Hemantha Kumar, G.,Shivakumara, P. (2008). An improved and efficient rotation invariant thinning algorithm for binary document images. Journal of Intelligent Systems 17 (1-3) : 157-171. ScholarBank@NUS Repository.
Abstract: Skeletonization has been a part of image processing for a wide variety of applications. Thinning is the process of reducing thickness of each line of pattern to just a single pixel width. Thinning is usually used as the first step in application such as optical character recognition to improve the recognition rate. In this paper, we present an improved and efficient rotation invariant algorithm for binary document images. The proposed algorithm preserves topology of the characters and it is rotation invariant. The algorithm is improved version of the 2-steps method by Gonzales and Woods. This is a generalized algorithm that can be used to thin symbols, digits, characters, letters, irrespective of the script in which they are written. The results show that the system is very efficient in preserving the topology of symbols and letters written in any language.
Source Title: Journal of Intelligent Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/39284
ISSN: 03341860
Appears in Collections:Staff Publications

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