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
This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights
“Licensed to Smith College and distributed CC-BY under the Smith College Faculty Open Access Policy.”
Recommended Citation
Howe, Nicholas, "Document Binarization with Automatic Parameter Tuning" (2013). Computer Science: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_facpubs/128
Comments
Author’s submitted manuscript.
Code Implementations by Nick Howe: http://cs.smith.edu/~nhowe/research/code/index.html#binarize