GEFE: genetic & evolutionary feature extraction for periocular-based biometric recognition

Personal identification using an individual's periocular skin texture (e.g. the texture of the skin around the eye) is a promising and exciting new biometric modality [11]. For the application presented in this paper, local binary patterns (LBPs) are used to extract 1416 features from the periocular regions of images within the Face Recognition Grand Challenge (FRGC) dataset. GEFE (Genetic & Evolutionary Feature Extraction) is then used to evolve optimized subsets of the original feature set. Our results show that not only do the evolved subsets consist of approximately 50% fewer features but they also have higher recognition rates.

[1]  Sudeep Sarkar,et al.  Gait Recognition , 2011, Encyclopedia of Cryptography and Security.

[2]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[3]  Michael G. Strintzis,et al.  Face Recognition , 2008, Encyclopedia of Multimedia.

[4]  Anil K. Jain,et al.  Dimensionality reduction using genetic algorithms , 2000, IEEE Trans. Evol. Comput..

[5]  John Daugman,et al.  How iris recognition works , 2002, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Chaouki Kasmi,et al.  Voice Biometrics , 2011, Encyclopedia of Cryptography and Security.

[7]  Arun Ross,et al.  An introduction to biometrics , 2008, ICPR 2008.

[8]  Patrick J. Flynn,et al.  Overview of the face recognition grand challenge , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[9]  Lawrence. Davis,et al.  Handbook Of Genetic Algorithms , 1990 .

[10]  R. Ostrovsky,et al.  Fingerprint Recognition , 2008 .

[11]  W. Punch,et al.  Feature Extraction Using Genetic Algorithms , 1997 .

[12]  Mauro Birattari,et al.  Swarm Intelligence , 2012, Lecture Notes in Computer Science.

[13]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Judith A. Markowitz.  Voice biometrics , 2000, CACM.

[15]  Thomas Bäck,et al.  Evolutionary computation: Toward a new philosophy of machine intelligence , 1997, Complex..

[16]  Manabu Kotani,et al.  Feature Extraction Using Genetic Algorithms , 1999 .

[17]  Anil K. Jain,et al.  Periocular biometrics in the visible spectrum: A feasibility study , 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.

[18]  Damon L. Woodard,et al.  Personal identification using periocular skin texture , 2010, SAC '10.

[19]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[20]  A. E. Eiben,et al.  Introduction to Evolutionary Computing , 2003, Natural Computing Series.

[21]  K.W. Bowyer,et al.  All Iris Code Bits are Not Created Equal , 2007, 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems.

[22]  Witold Pedrycz,et al.  Face recognition: A study in information fusion using fuzzy integral , 2005, Pattern Recognit. Lett..

[23]  David B. Fogel,et al.  Evolutionary Computation: Towards a New Philosophy of Machine Intelligence , 1995 .

[24]  G. Aguilar,et al.  Fingerprint Recognition , 2007, Second International Conference on Internet Monitoring and Protection (ICIMP 2007).

[25]  D. E. Goldberg,et al.  Genetic Algorithms in Search, Optimization & Machine Learning , 1989 .