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

Domaine:

natural language processing

Type de record:

paper
Créateur:
ArcDha
Éditeur:
SMS
Hôte:
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.

Visit

doi.org

Tasks

computer visionoptical character recognition

Languages

Amharic

Licenses

http://creativecommons.org/licenses/by-nc-nd/4.0

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