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Face Recognition Techniques for Authentication in Smart Devices - Comparative Study

Dominic Jerin George, Tulasi B.. Published in Image Processing

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Jerin George, Tulasi B.
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  1. Jerin George and Tulasi B.. Face Recognition Techniques for Authentication in Smart Devices - Comparative Study. International Journal of Applied Information Systems 12(1):33-37, April 2017. URL, DOI BibTeX

    	author = "Jerin George and Tulasi B.",
    	title = "Face Recognition Techniques for Authentication in Smart Devices - Comparative Study",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "April 2017",
    	volume = 12,
    	number = 1,
    	month = "Apr",
    	year = 2017,
    	issn = "2249-0868",
    	pages = "33-37",
    	url = "",
    	doi = "10.5120/ijais2017451671",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"


With rapid development of technology there has been a surge in hand-held devices. These devices are looked upon as an alternative to the traditional devices like personal computer and laptop. As the storage and the processing capabilities of these devices are increasing they are been termed as smart devices. The amount of personal data stored in these devices has increased many folds. In order to ensure that the critical data that is stored in these devices is secured, it is essential to put in place authentication processes. Authentication can be done at multiple levels, ranging from a password to face recognition. Algorithms like Eigenfaces, Fisherfaces are being used as a part of authentication applications. This paper tries to provide a comparative study on most commonly used face recognition algorithms.


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Correlation, Eigenfaces, Face Recognition, Fisherfaces, Lambertian Surface, MATLAB, Principal Components Analysis, Smart Devices