Illumination enhanced face Recognition for smart access system

Hegde, Anusha and Prathviraj, N and Shetty, Nishmitha R (2019) Illumination enhanced face Recognition for smart access system. International Journal of Mechanical Engineering and Technology, 10 (2). pp. 501-510. ISSN 0976-6340

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Abstract

Principle Component Analysis (PCA) is a widely used technique in the field of face recognition. Any system will have its own pros and cons. One of the disadvantages of PCA is its bonding with the light variation. By focusing on this issue, an improved algorithm is proposed by combining PCA with the Fast Fourier Transofrm-2. This solution is then applied to a real time environment which provides the smart access to the house. The user interface is provided using the Android application installed on the user’s smart phone. The communication between the smart access system and the application can happen remotely. The mechanical door lock is controlled using the system which can receive and transmit the command

Item Type: Article
Uncontrolled Keywords: PCA, Face Recognition, Aurdino Uno, IoT, Smart Door Lock
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 27 Mar 2019 06:14
Last Modified: 27 Mar 2019 06:14
URI: http://eprints.manipal.edu/id/eprint/153535

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