ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
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CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Airport Management System with Passport Verification using OpenCV
Authors
Pratiksha Narasimha Nayak G , Sannidhi , Nandini Moonka , Dr. Suma B , Dr. Rajashree Shettar
Keywords
Airport Management System, OpenCV, Passport Verification, Machine learning, Database, text recognition, Tesseract, Optical Recognition (OCR), Image Processing
Abstract
The airport management system links and integrates the airport electronic data through the greatest flow of information for security, management and operations. The facilities of this system are continuously evolving. In this study, the passport verification system is re-curated using tesseract, pytesseract, in order to enhance the security, devoid of any discrepancies and possible human error. The unique passport number is matched to the database and upon capturing the facial image of the passport holder, it is matched with the photo on the passport. This is done using OpenCV. A food ordering system is also implemented using MongoDB to give the passengers an option to pre-book a meal for their upcoming flights. Other functionalities provided by the system include flight booking system, updation of airport staff on the aircraft as well as the ground staff, and an admin login for the overall supervision. The proposed system is anticipated to increase efficiency of the security and provide better, smoother facilities to the passengers.
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How To Cite
"Airport Management System with Passport Verification using OpenCV", IJRTI - International Journal for Research Trends and Innovation (www.IJRTI.org), ISSN:2456-3315, Vol.9, Issue 6, page no.36 - 44, June-2024, Available :https://ijrti.org/papers/IJRTI2406007.pdf
Issue
Volume 9 Issue 6,
June-2024
Pages : 36 - 44
Other Publication Details
Paper Reg. ID: IJRTI_189953
Published Paper Id: IJRTI2406007
Downloads: 205,650
Research Area: Computer Science & TechnologyÂ
Country: Bengaluru, Karnataka, India
Published Paper PDF: https://ijrti.org/papers/IJRTI2406007
Published Paper URL: https://ijrti.org/viewpaperforall?paper=IJRTI2406007
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ISSN: 2456-3315 | IMPACT FACTOR: 10.57 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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© 2024 — Authors hold the copyright of this article.
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