alexa An Approach for Telugu Numeral Recognition by Moment I
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article

An Approach for Telugu Numeral Recognition by Moment Invariants in Wavelet Transform Domain

M. Radhika Mani1, R. Kavitha Lakshmi2
  1. Associate Professor, Dept. of CSE, Pragati Engineering College, Surampalem, A.P., India
  2. Assistant Professor, Dept. of CSE, Pragati Engineering College, Surampalem, A.P., India
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Abstract

Optical Character Recognition (OCR) is the task of recognizing the characters which are present in a digital image of text, whose domain can be machine print or handwriting. OCR is one of the most fascinating and challenging areas of pattern recognition with various practical application potentials. The present paper proposes a method for recognizing the Telugu Numerals from zero to nine by using the Moment Invariants. For this, the proposed method uses boundary based shape representation scheme. The input Telugu numeral is decomposed in to one level Haar wavelet transformed sub bands and the Boundary Moment Invariants are measured for each of these four sub bands. The experimental results show the superiority of the proposed method to recognize the Telugu numerals.

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