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Reseach Article

Anpr and Face based Recognition System

Published on December 2015 by Rudresh M.d, Meghashree S, Rajani S.s, Pavithra S, Veena D
National Conference on Power Systems and Industrial Automation
Foundation of Computer Science USA
NCPSIA2015 - Number 4
December 2015
Authors: Rudresh M.d, Meghashree S, Rajani S.s, Pavithra S, Veena D
83849bd2-c63c-4224-a6ce-3362689e8444

Rudresh M.d, Meghashree S, Rajani S.s, Pavithra S, Veena D . Anpr and Face based Recognition System. National Conference on Power Systems and Industrial Automation. NCPSIA2015, 4 (December 2015), 4-9.

@article{
author = { Rudresh M.d, Meghashree S, Rajani S.s, Pavithra S, Veena D },
title = { Anpr and Face based Recognition System },
journal = { National Conference on Power Systems and Industrial Automation },
issue_date = { December 2015 },
volume = { NCPSIA2015 },
number = { 4 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 4-9 },
numpages = 6,
url = { /proceedings/ncpsia2015/number4/23347-7276/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Power Systems and Industrial Automation
%A Rudresh M.d
%A Meghashree S
%A Rajani S.s
%A Pavithra S
%A Veena D
%T Anpr and Face based Recognition System
%J National Conference on Power Systems and Industrial Automation
%@ 0975-8887
%V NCPSIA2015
%N 4
%P 4-9
%D 2015
%I International Journal of Computer Applications
Abstract

This paper research work proposes automatic number plate and face recognition system. this research work first focusing for implementing a automatic number plate system based on optical character recognition and then face recognition system based on Principle Component Analysis(PCA) to standardize the faces illumination reducing in such way the variations for further features extraction; after developing both the system . In order to increase the security level this work proposes a automatic number plate and face recognition and verification system. The system is implemented on the entrance for security control of a highly restricted area like military zones or area around top government offices e. g. Parliament, Supreme Court and also in residential apartments, toll collections booths etc to avoid the security check at entrance of the gates. The developed system first captures the vehicle image and vehicles authorize persons such as owner or registered person's faces. Vehicle number plate region is extracted using the image segmentation in an image. Optical character recognition technique is used for the character recognition the resulting data is then used to compare with the records on a database. Once the number plate of authorize vehicle is identified and then faces of the persons verified by using face recognition system if face is also identified then vehicle can be allowed for restricted area otherwise not allowed. This work can be implemented and simulated in Matlab, and it performance is tested on real image and also tested on data base images. It is observed from the experimental results t that the developed system successfully detects and recognize the vehicle number plate images and faces of the authorize persons only.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Anpr (automatic Number Plate Recognition) Principle Component Analysis (pca) Face Recognition Vehicle Number Plate Image Segmentation Matlab.