A Hybrid Facial Recognition System for Check-Ins

Authors: Siddharth Malladi, Dr G Swamy

Country: India

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Abstract: Transport industries are currently evolving a prodigious change due to strict scrutiny and the governing safety protocols of the post COVID-19 era. Passengers of all transportation means, whether through airplanes or railways, are making their best choices to avoid big lines and unnecessary contact and interactions with the airport, transport staff. So, in order to achieve this, we are proposing a new system which uses Haar Cascades [7], Local Binary Patterns Histogram [4] as an amalgamation of algorithms to make a Facial Recognition system that checks the potential flyer’s ticket details by taking a picture and cross checking it with the data (photos) present in the database. While booking their ticket itself, the flyer has to link his photo proof which gets stored in the database of the airline. Our introduced system is not only safer but also faster and more coherent which has a lower training time and threshold than the already existing systems.

Keywords: Facial Recognition, Maritime Security, Port Security, Haar Cascades, Local Binary Patterns Histogram, Self-check-in

Paper Id: 988

Published On: 2021-06-01

Published In: Volume 9, Issue 3, May-June 2021

Cite This: A Hybrid Facial Recognition System for Check-Ins - Siddharth Malladi, Dr G Swamy - IJIRMPS Volume 9, Issue 3, May-June 2021.

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