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Devanagari is a script used for several major languages such as Hindi, Sanskrit, Marathi and Nepali, and is used by more than 500 million people. Unconstrained Devana-gari writing is more complex than English cursive due to the possible variations in the order, number, direction and shape of the constituent strokes. An on-line pen computing environment has(More)
Devanagari script is a two dimensional composition of symbols. It is highly cumbersome to treat each composite character as a separate atomic symbol because such combinations are very large in number. This paper presents a two pass algorithm for the segmentation and decomposition of Devanagari composite characters/symbols into their constituent symbols. The(More)
This overview examines the historical development of mechanizing Indian scripts and the computer processing of Indian languages. While examining possible solutions, the author describes the challenges involved in their design and in exploiting their structural similarity that lead to a unified solution. The focus is on the Devanagari script and Hindi(More)
The visual photopigments of simple deuter-anomalous trichromats inferred from color matching, " Vis. Abstract—The reading process has been widely studied and there is a general agreement among researchers that knowledge in different forms and at different levels plays a vital role. This is the underlying philosophy of the Devanagari document recognition(More)
-The spatial relationships among the constituent symbols of Devanagari script play an important role in the interpretation of Devanagari words. There are a number of constraints on these spatial relationships which characterise Dcvanagari script composition syntax. When the word composition is not found to be syntactically correct, the symbols are(More)
Abstract. This paper describes a method for the correction of optically read Devanagari character strings using a Hindi word dictionary. The word dictionary is partitioned in order to reduce the search space besides preventing forced matching to an incorrect word. The dictionary partitioning strategy takes into account the underlying OCR process. The(More)