Research Article
Image Recognition System using Geometric Matching and Contour Detection
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 51 - Issue 17 |
| Published: August 2012 |
| Authors: Gaurav Sharma, Sonali Sood, Gurjot Singh Gaba, Nancy Gupta |
10.5120/8138-1905
|
Gaurav Sharma, Sonali Sood, Gurjot Singh Gaba, Nancy Gupta . Image Recognition System using Geometric Matching and Contour Detection. International Journal of Computer Applications. 51, 17 (August 2012), 48-53. DOI=10.5120/8138-1905
@article{ 10.5120/8138-1905,
author = { Gaurav Sharma,Sonali Sood,Gurjot Singh Gaba,Nancy Gupta },
title = { Image Recognition System using Geometric Matching and Contour Detection },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 51 },
number = { 17 },
pages = { 48-53 },
doi = { 10.5120/8138-1905 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Gaurav Sharma
%A Sonali Sood
%A Gurjot Singh Gaba
%A Nancy Gupta
%T Image Recognition System using Geometric Matching and Contour Detection%T
%J International Journal of Computer Applications
%V 51
%N 17
%P 48-53
%R 10.5120/8138-1905
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Image recognition plays an important role in a wide range of applications from biomedical imaging and security systems to scene surveillance and many other fields. This document presents the representation of the recognition of two images through the process of geometric comparison. The geometric comparison is performed by comparing the image with a template through the processes of edge detection, scaling, contour matching and RGB to grayscale conversion. The software utilized is NI vision which is one of applications of the National Instrument's LabVIEW, used for the image and video processing functions.
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