A New Binarization Algorithm by Using the local Thresholding and Clustering Algorithm for the Document Image
In this paper, we proposed the new binarization algorithm that gives the improved image for the document with the severe brightness difference. This algorithm utilized the local threshold values by the Sauvola's algorithm and FCM clustering algorithm. We perform the thresholding by using the ce...
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Published in | International Information Institute (Tokyo). Information Vol. 18; no. 10; p. 4379 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Koganei
International Information Institute
01.10.2015
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Subjects | |
Online Access | Get full text |
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Summary: | In this paper, we proposed the new binarization algorithm that gives the improved image for the document with the severe brightness difference. This algorithm utilized the local threshold values by the Sauvola's algorithm and FCM clustering algorithm. We perform the thresholding by using the center of cluster for the local threshold values. As an experimental result for our proposed algorithm, we got the better binary images compared to the result of other algorithms. So we can conclude the proposed algorithm is superior to the other algorithms. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1343-4500 1344-8994 |