Stroke Width-Based Contrast Feature for Document Image Binarization
نویسندگان
چکیده
منابع مشابه
Stroke Width-Based Contrast Feature for Document Image Binarization
Automatic segmentation of foreground text from the background in degraded document images is very much essential for the smooth reading of the document content and recognition tasks by machine. In this paper, we present a novel approach to the binarization of degraded document images. The proposed method uses a new local contrast feature extracted based on the stroke width of text. First, a pre...
متن کاملAdaptive Image Contrast with Binarization Technique for Degraded Document Image
----------------------------------------------------ABSTRACT--------------------------------------------------Segmentation of text from badly degraded document images is very challenging tasks due to the high inter/intra variation between the document background and the foreground text of different document images. In this paper, we propose a novel document image binarization technique that add...
متن کاملAn Improved Contrast Image Based Document Image Binarization Technique for Degraded Document Images
Document Image Binarization converts a gray-scale document image into binary document image .It is usually performed in the pre-processing stage of document image analysis and it aims to segment the foreground text from the document background. Segmentation of foreground text from the document background is a difficult task in the case of degraded document images. In this paper we propose a sim...
متن کاملDocument Image Binarization
Principal stage of the document image analysis procedure is the binarization, according to which the pixels are classified into text and background. It is a crucial stage that can affect further stages including the final character recognition stage. This thesis is focused on document image binarization, including both binarization techniques and evaluation methodologies. Specifically, accordin...
متن کاملAdaptive document image binarization
A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture. The problems caused by noise, illumination and many source type-related degradations are addressed. Two new algorithms are applied to determine a local threshold for each pixel. The performance evaluation of the algorithm utilize...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Information Processing Systems
سال: 2014
ISSN: 1976-913X
DOI: 10.3745/jips.2014.10.1.055