Open Access Journal

ISSN : 2394-2320 (Online)

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

Monthly Journal for Computer Science and Engineering

Open Access Journal

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

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

3D Face Recognition

Author : Mr. Jayraj 1 Nilabja Roy 2 Swapnil Aryan Sinha 3

Date of Publication :17th October 2017

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.

Reference :

    1. A Review paper on Biometrics: Facial Recognition by Sakshi Goel, Akhil Kaushik, Kritika Goel
    2. https://en.wikipedia.org/wiki/Facial_recognition_syste m#3-dimensional_recognition
    3. en.m.wikipedia.org
    4. Image-based Face Detection and Recognition by Faizan Ahmad ,Aalma Najam, and Zeeshan Ahmed
    5. Face Recognition : a summary of 1995-1997 by Thomas Fromherz

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