UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1811A79


Registration ID:
192102

Page Number

628-635

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Title

Auto Ticket Checker And Theft Free Compartment Using Principal Component Analysis (PCA)

Authors

Abstract

Image processing is very popular technology which is applied in various applications for detecting and processing the digital images. Face detection is a part of image processing. It is used in many applications such as face recognition, people tracking, or photography. The main concept of this project is to make easy in checking tickets in railways and also restrict the passengers who do not have tickets. The reservation of the ticket is done with either i-booking or e-booking. For the reservation, each person’s face has to be detected by the webcam and it is uploaded along with their ID proofs. Both the images and ID proofs will be stored in the database. At the railway station, the tickets will be scanned and the face is recognized at the compartment and it is compared with the image in the stored database. If the mismatch arises a beep sound is produced and also a message with that intruder’s image is sent to the control room. Hence does not allow the passengers inside the compartment. This processing is done by using the algorithm such as Viola-Jones detector, Ada-boost and Harr-like features using MATLAB software. This project helps to increase the level of security in railways and also reduces the man power.

Key Words

Viola-Jones Detector Algorithm, Ada Boost, Harr-like features.

Cite This Article

"Auto Ticket Checker And Theft Free Compartment Using Principal Component Analysis (PCA)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.628-635, November-2018, Available :http://www.jetir.org/papers/JETIR1811A79.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Auto Ticket Checker And Theft Free Compartment Using Principal Component Analysis (PCA)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp628-635, November-2018, Available at : http://www.jetir.org/papers/JETIR1811A79.pdf

Publication Details

Published Paper ID: JETIR1811A79
Registration ID: 192102
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 628-635
Country: Villupuram, Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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