Image segmentation is one of the principal approaches of image processing. The choice of the most appropriate Binarization algorithm for each case proved to be a very interesting procedure itself. In this paper, we have done the comparison study between the various algorithms based on Binarization algorithms and propose a methodologies for the validation of Binarization algorithms. In this work...

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...

The main defects present in historical documents are darkness, non-uniform clarification, bleed-through and faded characters. To remove these defects binarization method is used. In this paper a phase based binarization method is studied in which phase of ancient document images is preserved. This method is derived in to three steps: preprocessing, main binarization and post processing. In prep...

Binarization is an important preprocessing step in several document image processing tasks. Nowadays handheld camera devices are in widespread use, that allow fast and flexible document image capturing. But, they may produce degraded grayscale image, especially due to bad shading or non-uniform illumination. State-of-the-art binarization techniques, which are designed for scanned images, do not...

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 t...

Binarization is an important preprocessing step in several document image processing tasks. Binarization of historical document with poor contrast, strong noise, and non-uniform illumination is a challenging problem. A new binarization algorithm has been developed to address this problem. In this paper, we describe a new method which does not utilize statistical properties of the intensity hist...

A binary image is a digital image that has just two possible values destined for each pixel. In general two colors are used for a binary image i. e. black and white. Binarization is one of the most important pre-processing step which consists to divide foreground and background of document images. Image binarization is the method of division of pixel values into double collections, black as for...

this paper surveys binarization of document images. The main role of binarization is dimension and noise reduction. Binarization is one of the most important steps in preprocessing of document image understanding and compression. Image binarization means to classify image pixels into two classes, background and foreground. The input of this classification is a feature vector based on intensity ...

Binarization of document images with poor contrast, strong noise complex patterns and variable modalities in the gray-scale histograms is a challenging problem. In this paper we present a binarization algorithm based on image dependen t model to address this problem for the c heque processing application. The proposed algorithm seeks an optimal threshold that w ould eliminate the background noi...

Ancient documents accumulate a significant amount of human heritage over time. However, many environmental factors, improper handling, and the poor quality of the materials used in their creation cause them to suffer a high degree of degradation of various types. There are lots of ancient documents which are badly degraded. It is very difficult to segment text from the document, as there is a v...