The study presented here relies on the integrated use of different kinds of knowledge in order to improve first-guess accuracy in non-word context-sensitive correction for general unrestricted texts. State of the art spelling correction systems, e.g. ispell, apart from detecting spelling errors, also assist the user by offering a set of candidate corrections that are close to the misspelled wor...

Braille system has been used by the visually impaired people for reading.The shortage of Braille books has caused a need for conversion of Braille to text. This paper addresses the geometric correction of a Braille document images. Due to the standard measurement of the Braille cells, identification of Braille characters could be achieved by simple cell overlapping procedure. The standard measu...

background this article tries to determine some cases of arabicism in medical texts, through citing evidence from some persian medical texts and also tries to show their significant role in the process of correction, translation, and the revision of the ancient medical texts and its ensuing research and writing of new works based on the old ones. the importance of arabicism in medical text is t...

Document image analysis such as text classification and layout analysis allow for the automated extraction of document properties. In general these methodologies are pre-processing steps for Optical Character Recognition (OCR) systems. In contrast, the proposed method aims at clustering document snippets so that an automated clustering of documents can be performed. First, localized words are c...

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Natural scene images are generally captured with portable devices such as mobile phone cameras. Scene images contains text information as part of captured scene. Scene image text poses difficultly in processing as compared to document text due to complexity of scene and open environment conditions. Scene images usually suffer from skew deformation due to inherent nature of portable capturing de...

Digital ink promises to combine the flexibility and aesthetics of handwriting and the ability to process, search and edit digital text. Character recognition converts handwritten text into a digital representation, albeit at the cost of losing personalized appearance due to the technical difficulties of separating the interwoven components of content and style. In this paper, we propose a novel...

Much previous work has focused on correction of OCR degraded text with little work addressing the possibility of fusing the generated text from different OCR systems, which are assumed to produce different types of errors. This paper explores text fusion, which involves the use of language modeling to determine which OCR system (if any) properly recognized individual words. The technique was ap...

The aim of this study is to propose a new methodology for text region extraction and non text region removal from complex background colored images. This study presents a new approach based on Gamma correction by determining a gamma value for enhancing the foreground details in an image. The approach also uses gray level co-occurrence matrices, texture measures, threshold concepts. The proposed...