Feature Extraction (Image Compression) of Printed Gujarati and Amharic Letters Using Discrete Wavelet Transform

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DOI https://doi.org/10.18090/samriddhi.v1i1.1572
Published Jun 25, 2010
DOI https://doi.org/10.18090/samriddhi.v1i1.1572

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Archit Yajnik
Reader with the Department of Humanities and Applied Sciences, SMS Institute of Technology, Lucknow
Dharmendra Singh
Reader with the Department of Humanities and Applied Sciences, SMS Institute of Technology, Lucknow.

Abstract

This paper demonstrates an application of discrete wavelet transform as a feature extractor as applicable to natural language processing. The procedure discussed in this paper extracts important features of the printed characters of Gujarati and Amharic scripts and shows Image compression capabilities of discrete wavelets. Procedure prescribed in this paper compresses the original image to 75% without disturbing much the original image.

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How to Cite
1.
Yajnik A, Singh D. Feature Extraction (Image Compression) of Printed Gujarati and Amharic Letters Using Discrete Wavelet Transform. sms [Internet]. 25Jun.2010 [cited 9Sep.2025];1(01):05-0. Available from: https://smsjournals.com/index.php/SAMRIDDHI/article/view/1161
Issue
Vol 1 No 01 (2010): SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology
Section
Research Article
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