International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,October 2017,

Topic : 3D Face Recognition

Authors:Mr. Jayraj || Nilabja Roy, Swapnil Aryan Sinha

Abstract:3D face recognition is one of the novel ways of having a security feature. This could be considered much more safer than a finger print scanner as it uses the crests and troughs on the face to accurately map every centimeter of the face, now because of his technology the machine cannot be fooled by showing a photo of the person because it won't be able to detect the crests and troughs on the face. In order to cheat the machine, one would have to make a 3D model of the face with exact depths at every centimeter which is very difficult. PCA algorithms, resulting in improved recognition performance, both individually and in combination. We have also examined the effect of depth resolution on performance of 3D recognition which is very accurate..

Keywords: 3D face recognition, security, crests and troughs, PCA algorithm, depth resolution, performance.

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DOI: 01.1617/vol4/iss10/pid04837


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Dr. Allon Guez
Professor, Drexel University,
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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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