Facial biometrics based on 2D vector geometry

Obaidul Malek; Anastasios Venetsanopoulos; Dimitrios Androutsos

doi:10.1117/12.2050185

29 May 2014 Facial biometrics based on 2D vector geometry

Obaidul Malek, Anastasios Venetsanopoulos, Dimitrios Androutsos

Author Affiliations +

Proceedings Volume 9075, Biometric and Surveillance Technology for Human and Activity Identification XI; 90750J (2014) https://doi.org/10.1117/12.2050185
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

The main challenge of facial biometrics is its robustness and ability to adapt to changes in position orientation, facial expression, and illumination effects. This research addresses the predominant deficiencies in this regard and systematically investigates a facial authentication system in the Euclidean domain. In the proposed method, Euclidean geometry in 2D vector space is being constructed for features extraction and the authentication method. In particular, each assigned point of the candidates’ biometric features is considered to be a 2D geometrical coordinate in the Euclidean vector space. Algebraic shapes of the extracted candidate features are also computed and compared. The proposed authentication method is being tested on images from the public “Put Face Database”. The performance of the proposed method is evaluated based on Correct Recognition (CRR), False Acceptance (FAR), and False Rejection (FRR) rates. The theoretical foundation of the proposed method along with the experimental results are also presented in this paper. The experimental results demonstrate the effectiveness of the proposed method.

Citation Download Citation

Obaidul Malek, Anastasios Venetsanopoulos, and Dimitrios Androutsos "Facial biometrics based on 2D vector geometry", Proc. SPIE 9075, Biometric and Surveillance Technology for Human and Activity Identification XI, 90750J (29 May 2014); https://doi.org/10.1117/12.2050185

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Biometrics

Databases

Feature extraction

Principal component analysis

Nose

Vector spaces

Laser induced plasma spectroscopy

Show All Keywords

Keywords/Phrases

Search In:

Publication Years