Keywords are a simple way of describing a document, giving the reader some clues about its contents. However, sometimes they only categorize the text into a topic being more useful a summary. Keywords and abstracts are common in scientific and technical literature but most of the documents available (e.g., web pages) lack such help, so automatic keyword extraction and summarization tools are fu...

abstract satire is one of the methods of expressing in literature that is used in two ways of direct and indirect. among these two methods, the second one is used more by the poets and writers because it helps them escaping from being face to face with the governments and their organizations. concerning the iraqi government and its cruel policies on those days, using first kind of satire was pr...

– In this paper, we present the results of our work that seeks to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This work concerns a technique, latent semantic indexing (LSI), which has been used for textual information retrieval for many years. In this environment, LSI determines clusters of co-occurring keywords, sometimes, calle...

To solve the problem of searching on encrypted data, many keyword search schemes have been proposed in recent years. The goal of such schemes is to enable a user to give an untrusted storage server the ability only to test whether an encrypted document contains a few keywords without learning anything else about the document. In this paper, we are concerned with decrypting the searched results ...

It may be difficult to locate keywords in noisy document images because of degraded OCR performance. A new technique for word image matching has the potential to select those. word images in a document that . represent potential keywords and to generate improved prototypes for those keywords. No explicit recognition is pe~formed in this process, but better OCR performance will occur on the impr...

In this paper we present a novel technique for data hiding in binary document images. We use the concept of entropy in order to identify document specific least distortive areas throughout the binary document image. The document image is treated as any other image and the proposed method utilizes the standard document characteristics for the embedding process. Proposed method minimizes perceptu...

In this paper we present a novel technique for data hiding in binary document images. We use the concept of entropy in order to identify document specific least distortive areas throughout the binary document image. The document image is treated as any other image and the proposed method utilizes the standard document characteristics for the embedding process. Proposed method minimizes perceptu...

Document Image Binarization converts a gray-scale document image into binary document image .It is usually performed in the pre-processing stage of document image analysis and it aims to segment the foreground text from the document background. Segmentation of foreground text from the document background is a difficult task in the case of degraded document images. In this paper we propose a sim...