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 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

Conference Name

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 97)

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Department of Computer Engineering, Conference / Seminar

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Citation Formats

E. Oztop, A. Mulayim, M. V. Atalay, and F. YarmanVural, “Repulsive attractive network for baseline extraction on document images,” presented at the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 97), MUNICH, GERMANY, 1997, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55356.