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

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

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