ISSN: 2349-5162

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Published in:

Volume 3 Issue 2
March-2016
eISSN: 2349-5162

Unique Identifier

JETIR1602019

Page Number

90-95

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Title

A SURVEY ON IMAGE PROCESSING TECHNIQUES

ISSN

2349-5162

Cite This Article

"A SURVEY ON IMAGE PROCESSING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 2, page no.90-95, March-2016, Available :http://www.jetir.org/papers/JETIR1602019.pdf

Abstract

Number recognition is the significant and crucial in identification of vehicle registration number. Unauthorized entry of vehicles, breaking traffic rules, stealing of vehicles are increasing linearly day by day. Thus to decrease these activity in our social environment Number recognition system is essential. Several methods of number recognition based on the image processing, neural network, the invariant moments have been proposed. In this paper we describe some of the recent researches carried out in the field of number recognition techniques. Discussion of these papers emphasizes the techniques that are used to extract number and alphabetic data from images. Several pre-processing techniques are used to increase the accuracy rate of extracted data. The main techniques that are used behind each research paper are stated briefly.

Key Words

Image Processing, Vehicle registration number

Cite This Article

"A SURVEY ON IMAGE PROCESSING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 2, page no. pp90-95, March-2016, Available at : http://www.jetir.org/papers/JETIR1602019.pdf

Publication Details

Published Paper ID: JETIR1602019
Registration ID: 160037
Published In: Volume 3 | Issue 2 | Year March-2016
DOI (Digital Object Identifier):
Page No: 90-95
ISSN Number: 2349-5162

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Cite This Article

"A SURVEY ON IMAGE PROCESSING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 2, page no. pp90-95, March-2016, Available at : http://www.jetir.org/papers/JETIR1602019.pdf




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