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Repulsive attractive network for baseline extraction on document images
Date
1997-04-24
Author
Oztop, E
Mulayim, AY
Atalay, Mehmet Volkan
YarmanVural, F
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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This paper describes a new framework, called, Repulsive Attractive (RA) Network for Baseline Extraction on document images. The R.A network is a self organizing feature detector which interacts with the document text image through the attractive and repulsive forces defined among the network components and the document image. Experimental results indicate that the network can successfully extract the baselines under heavy noise and with overlaps between the ascending and descending portions of the characters of adjacent lines. The proposed method is also applicable to a nide range of image processing applications, such as curve fitting, segmentation and thinning.
URI
https://hdl.handle.net/11511/55356
Collections
Department of Computer Engineering, Conference / Seminar