This paper presents a table detection algorithm using optimization method. We define the table detection problem within the whole page segmentation framework. To reach a good table detection result, we emphasize to optimize the probabilities of the table region , its neighboring text block and their separator. An iterative updating method is used to optimize the whole page segmentation probabil...

We propose a method that identifies from Web pages pairs of keywords in which one word describes the other and uses these relations to modify the query. It takes into account the positions of the words in the page structures when counting their occurrences and applies statistical tests to examine the differences between word co-occurrence rates. It finds related keywords more robustly regardles...

While a webpage usually contains hundreds of words, there are only two to three tags that would typically be assigned to this page. Most tags could be found in related aspects of the page, such as the page own content, the anchor texts around the page, and the user’s own opinion about the page. Thus it is not an easy job to extract the most appropriate two to three tags to recommend for a targe...

We present a multiresolutional algorithm that segments a compound document and uses the results of the segmentation for document enhancement in copier applications. The document is initially segmented into halftone and non-halftone areas. Based on this segmentation the location of the edges due to text, graphics, and images (and not due to halftone dots) are detected on halftone as well as on n...

In this paper we discuss the way of evaluating topic segmentation, from mathematical measures on variously constructed reference corpus to contextual evaluation depending on different topic segmentation usages. We present an overview of the different ways of building reference corpora and of mathematically evaluating segmentation methods, and then we focus on three tasks which may involve a top...

The emergence of the WeChat has brought some new changes to people's ways of life and reading. Thanks to the WeChat Public Platform, many people from all walks of life have become We Media operators, creating their own brands and products. In a case study of WeChat Public Platform, this paper uses NLPIR, a tool for Chinese word segmentation, and SPSS, a data analysis software, to conduct an ana...

Gurumukhi script is used for Punjabi language, which is a two dimensional composition of symbols with connected and disconnected diacritics. Handwritten Gurumukhi script has some complexities like connected, overlapped text lines, words and characters. It is one of the foremost issues for errors during the recognition process. Text segmentation is a challenging job in unconstrained writer indep...

Medical image segmentation is a frequent processing step in image understanding and computer aided diagnosis. In this paper, we propose developing on the range operator in image segmentation using depending on dermatology infection. Three different block size are utilized on the range operator and the developing ones to enhance the behavior of the segmentation process of medical images. We prop...