Document Type

Article

Publication Date

9-2013

Publication Title

International Journal on Document Analysis and Recognition

Abstract

Document analysis systems often begin with binarization as a first processing stage. Although numerous techniques for binarization have been proposed, the results produced can vary in quality and often prove sensitive to the settings of one or more control parameters. This paper examines a promising approach to binarization based upon simple principles, and shows that its success depends most significantly upon the values of two key parameters. It further describes an automatic technique for setting these parameters in a manner that tunes them to the individual image, yielding a final binarization algorithm that can cut total error by one-third with respect to the baseline version. The results of this method advance the state of the art on recent benchmarks.

Volume

16

Issue

3

First Page

247

Last Page

258

DOI

doi.org/10.1007/s10032-012-0192-x

ISSN

1433-2825

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Rights

“Licensed to Smith College and distributed CC-BY under the Smith College Faculty Open Access Policy.”

Comments

Author’s submitted manuscript.

Code Implementations by Nick Howe: http://cs.smith.edu/~nhowe/research/code/index.html#binarize

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