Segmentation of Printed Text in Devanagari Script and Gurmukhi Script | Zendy

Vijay Kumar | Zendy; Pankaj K. Sengar | Zendy

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Segmentation of Printed Text in Devanagari Script and Gurmukhi Script

Author(s) -

Vijay Kumar,

Pankaj K. Sengar

Publication year - 2010

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/749-1058

Subject(s) - devanagari , computer science , natural language processing , artificial intelligence , segmentation , speech recognition , character recognition , image (mathematics)

In this paper, we describe the line, word, character and top character segmentation for printed Hindi text in Devanagari script. And also describe the line and word segmentation for printed text in Gurmukhi script. A performance of 100% at line level, approximately 100% at word level, 99% at character level, and 97% at top character level for Devanagari script and performance of 100% at line level and 99% at word level for Gurmukhi script is obtained. Here we have observed the performance of segmentation with the help of five documents in devanagari script and five document in gurmukhi script.

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