Topic
Devanagari
About: Devanagari is a research topic. Over the lifetime, 655 publications have been published within this topic receiving 7428 citations. The topic is also known as: Deva nagari & Hindi Script.
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01 Jan 2021TL;DR: In this paper, the authors presented a new technique for unconstrained text line segmentation of Devanagari text using a combination of headline detection and median calculation of text line heights.
Abstract: Most of the reports either printed or handwritten comprised of significant data that can be helpful in the future. The papers generally rot with time that can lose data totally or up to some extent. Optical character recognition is the process which is used in sparing information from paper for further processing. Text line segmentation is a significant phase in character recognition because incorrectly divided text lines can cause errors in the recognition stage. In this paper, single-column and multi-column documents from different books, magazines and papers imprinted in Devanagari script had been considered. As a result of the low quality of papers in few documents and the unpredictability and complexity of these documents (background noise, paper decay due to aging, short lines, justified lines, distorted text lines), programmed text line segmentation remains an open research field. In this article, the authors have presented a new technique for unconstrained text line segmentation of Devanagari text using a combination of headline detection and median calculation of text line heights.
2 citations
01 Jan 2015
TL;DR: This paper is an analytical study of handwritten Devanagari character recognition and describes the statistical techniques used for feature extraction for handwritten character recognition.
Abstract: The concept of character recognition has gained a lot of attention due to its many applications such as in printed postal addressing, filling of various forms, multiple choice questions in certain examination and so on. This paper is an analytical study of handwritten Devanagari character recognition. It describes the statistical techniques used for feature extraction for handwritten character recognition. The character recognition can be of two types namely online character recognition and offline character recognition. This can be further classified as printed character recognition and handwritten character recognition. The handwritten character recognition has more applications as compared to the printed character recognition.
2 citations
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2 citations
01 Jan 2004
TL;DR: The authors traces the gradual evolution of the Indo-Aryan languages and more specifically, the Gujarati language, which is spoken mainly in Gujarat, a state in western India, where it is a regional language officially recognized by the Constitution of India.
Abstract: This article traces the gradual evolution of the Indo-Aryan languages and more specifically, the Gujarati language. This language is spoken mainly in Gujarat, a state in western India, where it is a regional language officially recognized by the Constitution of India. It is written in Gujarati script which is very similar to Devanagari (the script used for Sanskrit) but without the continuous line at the top of the letters. The origin of the Gujarati language lies in the Sanskrit language, the oldest known form of the Indo-Aryan languages. The Indo-Aryan languages are a sub-set of the Indo-European language family (Chatterji I 978:476).
2 citations