Abstract: Robust Phase-Based Binarization Model to Improve Degraded Document Images
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 108

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 11, November 2014

Robust Phase-Based Binarization Model to Improve Degraded Document Images

Samreen M. Shaikh A., Mayur S. Burange

In this paper, we present a phase-based binarization model for degraded document images, also a post processing method that can improve any binarization method and a ground truth generation tool. Usually, many binarization techniques are implemented in the literature for different types of binarization problems. It include an adaptive image contrast based document image binarization technique that is tolerant to different type of document degradation such as uneven illumination document smear involving smudging of text, seeping of ink to the back side of page, degradation of paper ink because of aging and so on similar reasons. An objective evaluation based methodology for handwritten document image binarization techniques that aims to reduce the human involvement in the ground truth construction and consecutive testing Image binarization is the method of separation of pixel values into dual collections, foreground for black and background for white. In images the grayscale and color images into black and white images. Ancient and degraded document improvement using image processing is attracting many researchers in the recent period. Binarization is very popular cleaning the document for further processing.

Keywords: Phase-based binarization model, degraded document images, grayscale images, binarization method, ground truth construction tool

Edition: Volume 3 Issue 11, November 2014

Pages: 1431 - 1434

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How to Cite this Article?

Samreen M. Shaikh A., Mayur S. Burange, "Robust Phase-Based Binarization Model to Improve Degraded Document Images", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=OCT141226, Volume 3 Issue 11, November 2014, 1431 - 1434

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