A Combination of Laplacian Energy, Global and Adaptive Techniques for Degraded Document Image Binarization
نویسندگان
چکیده
Many document image binarization algorithms have previously been proposed for enhancing the performance of degraded document image binarization. This paper reviews algorithms for document image binarization. All of the algorithms have some advantages and disadvantages. To remove the drawbacks in this paper a combined approach is proposed that first combines different types of global and local thresholding techniques and then combines with the laplacian energy technique by logical OR operation. Experimentally the performance of the combined binarization technique is evaluated for both handwritten and printed degraded documents. The results showed that the performance of the proposed combined technique is better than some other techniques.
منابع مشابه
Ancient Document Images Enhancement Using Phase Based Binarization
In this paper, we present a phase-based binarization model for degraded document images, also a post processing method that can improve any binarization method and a ground truth generation tool. Usually, many binarization techniques are implemented in the literature for different types of binarization problems. It include an adaptive image contrast based document image binarization technique t...
متن کاملA Robust Document Image Binarization Technique for Degraded Document Images
Segmentation of text from badly degraded document images is a very challenging task due to the high inter/intravariation between the document background and the foreground text of different document images. In this paper, 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 loca...
متن کاملA Survey on Degraded Document Image Binarization Techniques
the method of segmentation in the image binarization technique is the major technique used for the separation of pixel values into dual collections, black as foreground and white as background. The degraded images of a document are segmented by using the image binarization technique in order to acquire the clear images exact to that of the original images of documents. Thresholding process is t...
متن کاملAn Improved Binarization Method for Degraded Document
The document binarization of the degraded document is a challenging task due to variation in background and foreground. In recent years degraded documentation is active research topic. In this paper, the approach for segmentation of text from the degraded document images is presented by using adaptive image contrast. It is a combination of local image contrast and gradient. The performance of t...
متن کاملA Novel Degraded Document Image Binarazation by using Local Thresholding Segmentation
The proposed binarization is a scheme of parting a image pixel values into two classes black as foreground and white pixels as background then the thresholding is found for well known scheme for document image binarization. In this proposed work for the decomposition of both global and local thresholding this basic thresholding value we can use further. Here the global thresholding scheme is ef...
متن کامل