z-logo
open-access-imgOpen Access
An Approach for Structural Feature Extraction for Distorted Tamil Character Recognition
Author(s) -
Nirase Fathima Abubacker,
Indra Gandhi Raman
Publication year - 2011
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/2571-3534
Subject(s) - tamil , computer science , character (mathematics) , pattern recognition (psychology) , artificial intelligence , character recognition , feature (linguistics) , feature extraction , natural language processing , linguistics , image (mathematics) , mathematics , philosophy , geometry
Feature extraction is an important task for designing an OCR for recognizing degraded documents. Selection of a feature extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Shape inconsistency among characters of the same structure is sometimes quite large because of the poor resources and environmental impact on the document images. Therefore, it is necessary to select features which can adapt to the shape variations irrespective of the distortions. Hence, in this paper, selection of appropriate standard structural features is taken as the primary task for various distortion types that are considered to recognize the Tamil distorted characters

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom