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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Airport Management System with Passport Verification using OpenCV
Authors Name: Pratiksha Narasimha Nayak G , Sannidhi , Nandini Moonka , Dr. Suma B , Dr. Rajashree Shettar
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IJRTI_189953
Published Paper Id: IJRTI2406007
Published In: Volume 9 Issue 6, June-2024
DOI:
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.
Keywords: Airport Management System, OpenCV, Passport Verification, Machine learning, Database, text recognition, Tesseract, Optical Recognition (OCR), Image Processing
Cite Article: "Airport Management System with Passport Verification using OpenCV", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 6, page no.36 - 44, June-2024, Available :http://www.ijrti.org/papers/IJRTI2406007.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2406007
Registration ID:189953
Published In: Volume 9 Issue 6, June-2024
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Page No: 36 - 44
Country: Bengaluru, Karnataka, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2406007
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2406007
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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