A Web Page has large amount of information including some additional contents like hyperlinks, header footer, navigational panel; advertisements which may cause the content extraction to be complicated. Page Segmentation is used to detect the noisy content block by detecting malicious URL from Web Pages. Main aim of this research is detecting malicious URL during content extraction by checking ...

The decomposition of a document into segments such as text regions and graphics is a significant part of the document analysis process. The basic requirement for rating and improvement of page segmentation algorithms is systematic evaluation. The approaches known from the literature have the disadvantage that manually generated reference data (zoning ground truth) are needed for the evaluation ...

A large number of web pages contain information of entities in a form of lists of field values. Those implicit semi-structured records are often available in textual sources on the web such as advertisings of products, postal addresses, bibliographic information, etc. Harvesting information of those entities from such lists of field values is challenge task because the lists are manually genera...

We first describe how to “fuzzify” the estimated binary columns to create a [0,1]-valued column. Werefer to this [0,1] -valued column as the soft segmentation column of the noisy spectrogram column.Similarly to the collection of soft segmentation columns as the soft segmentation image, or simply asthe soft segmentation. The band-dependent posterior probability that the hard segmentation columnv...

Images on the Web come in hand with valuable textual content on hosting web pages that can be exploited to generate image annotations. However, web documents are usually composed of contents to multiple topics and the context of an image makes only a small portion of the full text of the web page. In order to get qualitative descriptions, methods that are able to extract the image context becom...

In four studies children were asked to read aloud a passage of randomly ordered common words with and without a coloured sheet of plastic (overlay) placed upon the page. The children's rate of reading increased with the overlay, for some children more than for others. The children were also asked to undertake a test of texture segmentation in which targets consisting of a structured texture had...

This paper is about retrieving the closest matches from a set of scanned handwritten documents based on a query that is a document image. System indexing and retrieval is based on writer characteristics, textual content as well as document meta data such as writer profile. Documents are indexed using global image features, e.g., stroke width, slant, word gaps, as well local features that descri...

In designing page segmentation systems for documents with complex background and poor illumination, separating the background from the objects (text and images) is very crucial for the success of such system. The new local based neural binarization technique developed by the authors will be used to extract the objects from document images with complex backgrounds. This algorithm uses statistica...

While many segmentation methods rely heavily in some way on edge detection, the “Active Contours Without Edges” method by Chan and Vese [7, 9] ignores edges completely. Instead, the method optimally fits a two-phase piecewise constant model to the given image. The segmentation boundary is represented implicitly with a level set function, which allows the segmentation to handle topological chang...

The design and functionality of a versatile search engine on handwritten documents is described. Documents are indexed using global image features, e.g., stroke width, slant, word gaps, as well local features that describe shapes of characters and words. Image indexing is done automatically using page analysis, page segmentation, line separation, word segmentation and recognition of characters ...