Biometrics security and experiments on face recognition algorithms

Biometrics security analysis and performance evaluation of the following Face Recognition Algorithms is performed: Principal Components Analysis (PCA), Linear Discriminant Analysis (LDA) and Bayesian Intrapersonal/Extrapersonal Classifier (BIC), using the BANCA database. Software tools retrieve and preprocess images from sequential records within the BANCA database for algorithm evaluation. Then a verification environment over the set of images to be tested is developed, the above algorithms are invoked over the verification set, and verification parameters are collected. Results proved PCA performed most accurately and effectively with regards to security concerns, with an average recognition rate of 93%, while LDA and BIC lagged behind with recognition rates ranging from 80%-83%.

[1]  Bruce A. Draper,et al.  The CSU Face Identification Evaluation System , 2005, Machine Vision and Applications.

[2]  Bruce A. Draper,et al.  Analyzing PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures , 2003 .

[3]  Hanspeter Pfister,et al.  Maximizing all margins: Pushing face recognition with Kernel Plurality , 2011, 2011 International Conference on Computer Vision.

[4]  Teh-Lu Liao,et al.  Human face recognition system using modified PCA algorithm and ARM platform , 2010, 2010 International Symposium on Computer, Communication, Control and Automation (3CA).

[5]  Terrance E. Boult,et al.  For your eyes only , 2012, 2012 IEEE Workshop on the Applications of Computer Vision (WACV).

[6]  A. Ganapathiraju,et al.  LINEAR DISCRIMINANT ANALYSIS - A BRIEF TUTORIAL , 1995 .

[7]  Alex Pentland,et al.  Bayesian face recognition , 2000, Pattern Recognit..

[8]  Lindsay I. Smith,et al.  A tutorial on Principal Components Analysis , 2002 .

[9]  Bruce A. Draper,et al.  Using a Generalized Linear Mixed Model to Study the Configuration Space of a PCA+LDA Human Face Recognition Algorithm , 2004, AMDO.

[10]  Muhammad Khurram Khan,et al.  Face Recognition using Layered Linear Discriminant Analysis and Small Subspace , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

[11]  Sharath Pankanti,et al.  Biometric Recognition: Security and Privacy Concerns , 2003, IEEE Secur. Priv..

[12]  J. Woodward,et al.  Biometrics: A Look at Facial Recognition , 2003 .

[13]  Zhang Yong,et al.  An Improved Face Recognition Algorithm Based on Skin-Color Detection , 2011, 2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control.

[14]  Jean-Philippe Thiran,et al.  The BANCA Database and Evaluation Protocol , 2003, AVBPA.