MAJORITY VOTING IMAGE BINARIZATION

Alexandru Pruncu (), Cezar Ghimbas (), Radu Boeru (), Vlad Neculae () and Costin-Anton Boiangiu ()
Additional contact information
Alexandru Pruncu: Politehnica University of Bucharest, Bucharest, Romania
Cezar Ghimbas: Politehnica University of Bucharest, Bucharest, Romania
Radu Boeru: Politehnica University of Bucharest, Bucharest, Romania
Vlad Neculae: Politehnica University of Bucharest, Bucharest, Romania
Costin-Anton Boiangiu: Politehnica University of Bucharest, Bucharest, Romania

Journal of Information Systems & Operations Management, 2018, vol. 12, issue 2, 422-430

Abstract: This paper presents a new binarization technique for text based images. The proposed method combines several state of the art binarization algorithms through a majority voting scheme and applies a post processing effect to improve the results, more specifically, the edge map of the grayscale image is used in combination with the image resulted through the voting process in order to ensure a more accurate determination of the image’s characters. Compared individually to each algorithm used, the binarization result proves to be quite promising, surpassing every other algorithm for certain images containing machine-written characters.

Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.rebe.rau.ro/RePEc/rau/jisomg/Wi18/JISOM-WI18-A18.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:12:y:2018:i:2:p:422-430

Access Statistics for this article

More articles in Journal of Information Systems & Operations Management from Romanian-American University Contact information at EDIRC.
Bibliographic data for series maintained by Alex Tabusca ().