A new soft biometric approach for keystroke dynamics based on gender recognition

International Journal of Information Technology and Management

Volumn 11, Issue 1-2, 2012, Pages 35-49

  Giot, Romain ^a   Rosenberger, Christophe ^a  

^a UNIVERSITÉ DE CAEN   (France)

Author keywords

Gender recognition; Keystroke dynamics; Soft biometrics

Indexed keywords

AUTHENTICATION; BIOMETRICS; INFORMATION USE;

AUTHENTICATION METHODS; GENDER RECOGNITION; KEYSTROKE DYNAMICS; SCORE FUSION; SHARED SECRETS; SOFT BIOMETRICS;

DYNAMICS;

EID: 84857159015     PISSN: 14614111     EISSN: None     Source Type: Journal    
DOI: 10.1504/IJITM.2012.044062     Document Type: Article

References (17)

1. Ailisto, H., Vildjiounaite, E., Lindholm, M., Mäkelä, S-M. and Peltola, J. (2006) 'Soft biometrics -combining body weight and fat measurements with fingerprint biometrics', Pattern Recognition Letters, Vol. 27, No. 5, pp.325-334. (Pubitemid 43245560)
2. Alexandre, L.A. (2010) 'Gender recognition: a multiscale decision fusion approach', Pattern Recognition Letters, February.
3. Belhumeur, P.N., Hespanha, J.P. and Kriegman, D.J. (1997) 'Eigenface vs. fisherfaces: recognition using class specific linear projection', IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, pp.711-720. (Pubitemid 127762263)
4. Chang, C.C. and Lin, C-J. (2001) Libsvm: A Library for Support Vector Machines.
5. Giot, R., El-Abed, M. and Christophe, R. (2009a) 'GREYC keystroke: a benchmark for keystroke dynamics biometric systems', IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS 2009), September, pp.1-6, District of Columbia, IEEE Computer Society, doi: 10.1109/BTAS.2009.5339051, Washington, USA.
6. Giot, R., El-Abed, M. and Christophe, R. (2009b) 'Keystroke dynamics with low constraints SVM based passphrase enrollment', IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS 2009), September, District of Columbia, IEEE Computer Society. doi: 10.1109/BTAS.2009.5339028, Washington, USA.
7. Hocquet, S., Ramel, J-Y. and Cardot, H. (2007) 'User classification for keystroke dynamics authentication', The Sixth International Conference on Biometrics (ICB2007), pp.531-539.
8. Hwang, W., Ren, H., Kim, H., Kee, S-C. and Kim, J. (2009) 'Face recognition using gender information', IEEE 16th International Conference on Image Processing (ICIP 2009), November, IEEE Signal Society, Cairo, Egypt.
9. Jain, A.K. and Park, U. (2009) 'Facial marks: soft biometric for face recognition', IEEE International Conference on Image Processing (ICIP).
10. Jain, A.K., Dass, S.C. and Nandakumar, K. (2004) 'Soft biometric traits for personal recognition systems', Proceedings of International Conference on Biometric Authentication.
11. Jain, A.K., Flynn, P. and Ross, A.A. (Eds.) (2008) Handbook of Biometrics, Springer US.
12. Li, X., Maybank, S.J., Yan, S., Tao, D. and Xu, D. (2008) 'Gait components and their application to gender recognition', IEEE Transactions on Systems Man and Cybernetics Part C Applications and Reviews, Vol. 38, No. 2, p.145.
13. Li, Z., Zhou, X. and Huang, T.S. (2009) 'Spatial Gaussian mixture model for gender recognition', IEEE 16th International Conference on Image Processing (ICIP 2009), November, IEEE Signal Society, Cairo, Egypt.
14. Monrose, F. and Rubin (1997) 'Authentication via keystroke dynamics', Proceedings of the 4th ACM Conference on Computer and Communications Security, pp.48-56, ACM Press New York, NY, USA,.
15. Muller, K.R., Mika, S., Ratsch, G., Tsuda, K. and Scholkopf, B. (2001) 'An introduction to kernel-based learning algorithms', IEEE Transactions on Neural Networks, Vol. 12, No. 2, pp.181-201. (Pubitemid 32371478)
16. Vapnik, V. (1998) Statistical Learning Theory, Wiley New York.
17. Vaquero, D.A., Feris, R.S., Tran, D., Brown, L., Hampapur, A. and Turk, M. (2009) 'Attribute-based people search in surveillance environments', IEEE Workshop on Applications of Computer Vision (WACV).