Browsing CALIBER 2005:Kochi by Subject "Indian Language"
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Chaudhuri, Anirban Ray; Singh, Debnath; Nasipuri, Mita; Basu, Dipak Kumar (INFLIBNET Centre, February 2, 2005)[more][less]
Abstract: The transformation of a scanned paper document into an editable form suitable for further processing such as desktop publishing or archiving in a digital library is a complex process. It requires solutions to several problems – document analysis by acquiring knowledge of document layout by a Page Layout Analyzer (PLA), followed by document recognition, which mainly comprises text recognition by Optical Character Recognition (OCR). Besides these two, another important problem is document reconstruction by transforming content into an electronically editable format by keeping the original layout intact. Core OCR modules exist on different Indian scripts, but no such document reconstruction system is available for Indian scripts. The document reconstruction system reported in this paper is the first of its kind on Indian scripts and it addresses document reconstruction for Bengali document images. The system makes use of the knowledge of both document layout extracted by a PLA in a graphical user interface (GUI) and the results of text recognition steps performed by OCR for transformation of paper documents into Rich Text Format. URI: http://hdl.handle.net/1944/495 Files in this item: 1
05cali_4.pdf (528.0Kb) -
Nair, Shivashankar B (INFLIBNET Centre, February 2, 2005)[more][less]
Abstract: While English has predominantly maintained its lead both as the lingua franca of the Internet and also for basic man-machine interactions, the need of the day is a system that can cater to the native by facilitating such communication in the language he is most comfortable. This calls for the realization of Multilingual Systems that can present the same information in a variety of languages. The term Multilingual Computing in the present context refers to systems that are capable of running programs that accept, process and present data in more than one natural language. The concerned language for interacting with the computer may be selected at the time of invocation or use of the program. Such multilingual systems do not fully overcome the man machine barrier. The user still has to comprehend and react to the cryptic messages presented in the language of his choice. The problem can be overcome only by the use of natural language processing systems that can translate user commands and queries in his native language to machine level commands, facilitate execution and present the results in a manner that is very akin to the responses of a human being. This paper discusses the basic issues in the formulation of such multilingual systems. URI: http://hdl.handle.net/1944/492 Files in this item: 1
05cali_1.pdf (212.3Kb) -
Shanthi, N; Duraiswamy, K (INFLIBNET Centre, February 2, 2005)[more][less]
Abstract: Handwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies. Handwriting is a skill that is personal to individuals. Recognition of characters is an important area in machine learning. Widespread acceptance of digital computers seemingly challenges the future of handwriting. However, in numerous situations, a pen together with paper or a small notepad is much more convenient than a keyboard. Handwriting data is converted to digital form either by scanning the writing on paper or by writing with a special pen on an electronic surface such as a digitizer combined with a liquid crystal display. The two approaches are distinguished as offline and online handwriting respectively. It is necessary to perform several document analysis operations prior to recognizing text in scanned documents. This paper presents detailed analysis of various preprocessing operations performed prior to recognition of Tamil handwritten characters and the results are shown. URI: http://hdl.handle.net/1944/500 Files in this item: 1
05cali_9.pdf (251.9Kb)
Now showing items 1-3 of 3