Topic modelling has been popularly used to discover latent topics from text documents. Most existing models work on individual words. That is, they treat each topic as a distribution over words. However, using only individual words has several shortcomings. First, it increases the co-occurrences of words which may be incorrect because a phrase with two words is not equivalent to two separate wo...

Search engines such as Google and MSN Search crawl and index files in Adobe’s Portable Document Format (PDF) alongside material in HTML. Google furthermore offers a View as HTML option for PDF that includes query term highlighting. The visual appearance of these HTML files converted from PDF is very poor. In this paper we claim that significant improvements to the quality of on-demand PDF to HT...

Graphics hardware has in recent years become increasingly programmable, and its programming APIs use the stream processor model to expose massive parallelization to the programmer. Unfortunately, the inherent restrictions of the stream processor model, used by the GPU in order to maintain high performance, often pose a problem in porting CPU algorithms for both video and volume processing to gr...

Large scholarly repositories are designed to provide scientists and researchers with a wealth of information that is retrieved from data present in a variety of formats. A typical scholarly document contains information in a combined layout of texts and graphic images. Common types of graphics found in these documents are scientific charts that are used to represent data values in a visual form...

This article mainly approaches the topic of Intelligent Document Processing from viewpoint users cloud computing platforms and end-users. The market for commercial OCR, document categorization data extraction technologies are briefly reviewed to extent that it is publicly available. necessity an effective efficient retrieval stored information increased by digital repositories. In this study, w...

Intelligent document understanding (IDU) systems convert scanned document pages into an electronic format which preserves layout and logical document structure in addition to document content. Most of the IDU experimental systems, however, lack the capability of full exploitation of recognition results, i.e., the reconstruction and utilization of complete documents. In this paper we present an ...

Most of handwritten mathematical documents contain graphics in addition to mathematical text. Thus, these documents must be segmented into homogenous areas to facilitate their digitization. Text and graphic segmentation from these documents aims at segmenting the document into two blocks: the first contains the texts and the second includes the graphical objects. In this paper, we focus our int...

This paper describes a document image analysis system using multiple agents working on a pyramid structure to separate text from graphics in the image. Text strings appear as different groupings of connected components at different resolution of the images. As such, the pyramid structure, which is a multi-resolution image representation, provides a natural means of identifying and grouping of c...

Fast algorithms are important for efficient image processing systems for handling large set of calculations. To speedup the processing, parallel implementation of an algorithm can be done using Graphics Processing Unit (GPU). GPU is general purpose computation hardware; programmability and low cost make it productive. Binarization is widely used technique in the image analysis and recognition a...