International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,August 2016,

Topic : De-Noising Of Degraded Document Image Using Adaptive and OTSU Thresholding Techniques

Authors:Chittari Padma || Pullarevu Sreenivasulu

Abstract:Segmentation of text from badly degraded document an image is a very challenging task due to the high inters/intra variation between the document background and the foreground text of different document images. In this project, we propose a novel document image binarization technique that addresses these issues by using adaptive image contrast. The adaptive image contrast is a combination of the local image contrast and the local image gradient that is tolerant to text and background variation caused by different types of document degradations. In the proposed technique, an adaptive contrast map is first constructed for an input degraded document image. The contrast map is then binarized and combined with Canny’s edge map to identify the text stroke edge pixels. The document text is further segmented by a local threshold that is estimated based on the intensities of detected text stroke edge pixels within a local window. The proposed method is simple, robust, and involves minimum parameter tuning.

Keywords: degraded document,image binarization technique,image contrast,

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DOI: 01.1617/vol3iss8pid401


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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