Document Type

Conference Proceeding

Publication Date

2011

Publication Title

International Conference on Document Analysis and Recognition

Abstract

This paper describes a new algorithm for document binarization, building upon recent work in energy-based segmentation methods. It uses the Laplacian operator to assess the local likelihood of foreground and background labels, Canny edge detection to identify likely discontinuities, and a graph cut implementation to efficiently find the minimum energy solution of an objective function combining these concepts. The results of this algorithm place it near the top on both the DIBCO-09 and H-DIBCO assessments.

Keywords

I.4.0.b Image processing software, I.4.6.b Graph-theoretic methods, I.4.6.d Pixel classification

Creative Commons License

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

Rights

© Nick Howe

Comments

Author’s submitted manuscript.

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

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