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Novel Document Image Binarization Technique for Degraded Document Images

Publication Date : 01/09/2015

Author(s) :


Volume/Issue :
Volume 2
Issue 8
(09 - 2015)

Abstract :

Historical documents have great cultural and scientific importance because most inventions are derived from these documents. So the originals of these documents are carefully preserved and not available for public viewing, only photocopies of documents are provided. There are mainly two types of degradation in the historical document images. First, the original document is aged leading to ink bleed through, stain, damages and dirt. The second problem is introduced during conversion of the documents to their digital image format. In this paper a novel document image binarization technique is proposed that addresses these issues by using enhanced 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. Enhanced adaptive image contrast is a standard deviation based adaptive image contrast. In the proposed technique, degraded document images are pre-process using filters to eliminate background noise. Then an enhanced adaptive contrast map is constructed for an input degraded document image. The enhanced adaptive contrast map is then binarized and combined with a Canny’s edge map of input image 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 detecting text stroke edge pixels within a local window. The final binarized image is human recognizable and can feed into OCR system. Thus the details available in historical document are enhanced through this technique.

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Novel Document Image Binarization Technique for Degraded Document Images

August 31, 2015