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Open AccessProceedings ArticleDOI

A comparative study of complexity of handwritten Bharati characters with that of major Indian scripts

TLDR
In this paper, the authors present Bharati, a simple, novel Indian script that can represent the characters of a majority of contemporary Indian scripts, and perform a complexity analysis of handwritten Bharati script and compare its complexity with that of nine major Indian scripts.
Abstract
We present Bharati, a simple, novel script that can represent the characters of a majority of contemporary Indian scripts. The shapes/motifs of Bharati characters are drawn from some of the simplest characters of existing Indian scripts. Bharati characters are designed such that they strictly reflect the underlying phonetic organization, thereby attributing to the script qualities of simplicity, familiarity, ease of acquisition and use. Thus, employing Bharati script as a common script for a majority of Indian languages can ameliorate several existing communication bottlenecks in India. We perform a complexity analysis of handwritten Bharati script and compare its complexity with that of nine major Indian scripts. The measures of complexity are derived from a theory of handwritten characters based on Catastrophe theory. Bharati script is shown to be simpler than the nine major Indian scripts in most measures of complexity. Self-organizing maps (SOM) are generated by training data for handwritten characters of Bharati and Indian scripts. Phonetically similar characters are clustered together on SOM for Bharati, supporting the proposition that the shapes of Bharati script follow the underlying phonetic organization.

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Book ChapterDOI

An AI-Based Detection System for Mudrabharati: A Novel Unified Fingerspelling System for Indic Scripts.

TL;DR: Mudrabharati as discussed by the authors is a unified fingerspelling system for Indic scripts based on the phonetics of Indian scripts and not the geometry of the glyphs that compose the individual characters.
References
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Proceedings Article

Online Handwritten Character Recognition of Devanagari and Telugu Characters using Support Vector Machines

TL;DR: A system for recognition of online handwritten characters has been presented for Indian writing systems and the results have been presented after testing the system on Devanagari and Telugu scripts.
Journal ArticleDOI

The shape of handwritten characters

TL;DR: This work addresses the general problem of defining the shape of a 2D line diagram, with character as a significant special case, and develops a framework based on a branch of mathematics known as the Catastrophe theory, derived systematically from a small set of 11 shape features found in handwritten scripts.
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