A New Approach to Predicting Physical Biometrics from Behavioural Biometrics
A relationship between face and signature biometrics
is established in this paper. A new approach is developed to predict
faces from signatures by using artificial intelligence. A multilayer
perceptron (MLP) neural network is used to generate face details
from features extracted from signatures, here face is the physical
biometric and signatures is the behavioural biometric. The new
method establishes a relationship between the two biometrics and
regenerates a visible face image from the signature features.
Furthermore, the performance efficiencies of our new technique are
demonstrated in terms of minimum error rates compared to published
work.
[1] S. Prabhakar, S. Pankanti, and A. K. Jain, "Biometric recognition:
security and privacy concerns," Security & Privacy, IEEE, vol. 1, pp. 33-
42, 2003.
[2] Z. e. ˇR´ıha and V. a. M. a. s. Jr., "Biometric Authentication Systems,"
November 2000.
[3] F. Al-Harby, R. Qahwaji, and M. Kamala, "The Effects of Gender
Differences in the Acceptance of Biometrics Authentication Systems
within Online Transaction," in CyberWorlds, 2009. CW '09.
International Conference on, 2009, pp. 203-210.
[4] V. Conti, S. Vitabile, and F. Sorbello, "Fingerprint Traits and RSA
Algorithm Fusion Technique," in Complex, Intelligent and Software
Intensive Systems (CISIS), 2012 Sixth International Conference on,
2012, pp. 351-356.
[5] J. Daugman, "How iris recognition works," Circuits and Systems for
Video Technology, IEEE Transactions on, vol. 14, pp. 21-30, 2004.
[6] K. Ito, A. Morita, T. Aoki, T. Higuchi, H. Nakajima, and K. Kobayashi,
"A fingerprint recognition algorithm using phase-based image matching
for low-quality fingerprints," in Image Processing, 2005. ICIP 2005.
IEEE International Conference on, 2005, pp. II-33-6.
[7] M. G. Ullah, B. S. Chowdhary, S. Latif, A. Q. Rajput, and J. Ahmed,
"Pattern Matching Algorithm using Polar Spectrum in Retina
Recognition for Human Identification System," Australian Journal of
Basic and Applied Sciences, vol. 5(10): 1385-1392, 2011.
[8] A. Hamadene, Y. Chibani, and H. Nemmour, "Off-Line Handwritten
Signature Verification Using Contourlet Transform and Co-occurrence
Matrix," in Frontiers in Handwriting Recognition (ICFHR), 2012
International Conference on, 2012, pp. 343-347.
[9] C. F. Huang, P. W. Peng, C. M. Cheng, J. S. Tsai, W. T. Wang, C. T.
Hsu, et al., "Direct Visualization of DNA Recognition by Restriction
Endonuclease EcoRI," Journal of Experimental & Clinical Medicine,
2013.
[10] J. Pylkkönen, "Towards Efficient and Robust Automatic Speech
Recognition: Decoding Techniques and Discriminative Training," A
doctoral dissertation of Science in Technology, School of Science
Department of Information and Computer Science, Aalto University,
2013.
[11] R. M. Mutelo, and W. L. Woo, “Two Dimensional Fisher Discriminant
for Small Sample Size Face Biometric Recognition”, Mediterranean
Journal of Computers and Networks, vol. 2, no. 4, pp. 174-184, 2006.
[12] M. A. Dabbah, W. L. Woo, and S. S. Dlay, "Appearance-Based
Biometric Recognition: Secure Authentication and Cancellability,” in
Proc. of 15th Int. Conf. on Digital Signal Processing, Cardiff, United
Kingdom, 1-4 July 2007, pp. 479-482.
[13] R. M. Mutelo, W. L. Woo, and S. S. Dlay, "Two Dimensional
Orthogonal Wavelet Features for Image Representation and
Recognition,” in Proc. of 15th Int. Conf. on Digital Signal Processing,
Cardiff, United Kingdom, 1-4 July 2007, pp. 256-259.
[14] M. A. Dabbah, W. L. Woo, and S. S. Dlay, “Image-Based Facial
Recognition in the Domain of High-Order Polynomial One-Way
Mapping”, IET Image Processing, vol. 2, no. 3, pp. 139-149, June 2008.
[15] R. M. Mutelo, W. L. Woo, and S. S. Dlay, “A New Discriminant
Analysis of the Two Dimensional Gabor Features for Face
Recognition”, IET Computer Vision, vol. 2, no. 2, pp. 37-49, June 2008.
[16] M. A. Dabbah, W. L. Woo, and S. S. Dlay, “Secure Face Biometric
Verification in the Randomized Radon Space”, in Proc. of IEEE Int.
Conf. on Multimedia and Expo (ICME), Hannover, Germany, 23-26
June 2008.
[17] A. A. M. AL-Shiha, W. L. Woo, and S. S. Dlay, "Multi-linear
neighborhood preserving projection for face recognition," Pattern
Recognition, vol. 47, pp. 544–555, 2014.
[18] S. Sağiroğlu and N. Özkaya, "An Intelligent and Automatic Eye
Generation System from Only Fingerprints," in In Proceedings of Information Security and Cryptology Conference with International
Participation, Ankara, Turkey: METU Culture and Convention Center,
2008.
[19] S. Sağiroğlu and N. Özkaya, "An intelligent face features generation
system from fingerprints," Turk J Elec Eng & Comp Sci, vol. Vol.17,
No.2, 2009.
[20] S. Sagiroglu and N. Ozkaya, "Artificial neural network based automatic
face parts prediction system from only fingerprints," in Computational
Intelligence in Biometrics: Theory, Algorithms, and Applications, 2009.
CIB 2009. IEEE Workshop on, 2009, pp. 77-83.
[21] N. Özkaya and S. Sağiroğlu, "Generating One Biometric Feature from
Another: Faces from Fingerprints," Sensors, 10(5), 4206-4237, 2010.
[22] I. Barbantan and R. Potolea, "Enhancements on a signature recognition
problem," in Intelligent Computer Communication and Processing
(ICCP), 2010 IEEE International Conference on, 2010, pp. 141-147.
[23] J. Galbally, J. Fierrez, M. Martinez-Diaz, and J. Ortega-Garcia,
"Evaluation of Brute-force Attack to Dynamic Signature Verification
Using Synthetic Samples," in Document Analysis and Recognition,
2009. ICDAR '09. 10th International Conference on, 2009, pp. 131-135.
[24] Online Available: http://biometrics.idealtest.org/
[25] J. Galbally, R. Plamondon, J. Fierrez, and J. Ortega-Garcia, "Synthetic
on-line signature generation. Part I: Methodology and algorithms,"
Pattern Recognition, 2012.
[26] J. Galbally, J. Fierrez, J. Ortega-Garcia, and R. Plamondon, "Synthetic
on-line signature generation. Part II: Experimental validation," Pattern
Recognition, 2012.
[27] R. Singh and H. Om, "An overview of face recognition in an
unconstrained environment," in Image Information Processing (ICIIP),
2013 IEEE Second International Conference on, 2013, pp. 672-677.
[28] L. Fausett, Fundamental of Neural Networks, Architectures, Algorithms
and Applications: Printice Hall Int. Snc. , 1994.
[29] J. Li, G. Yin, and G. Zhang, "Evaluation of tobacco mixing uniformity
based on chemical composition," in Control Conference (CCC), 2012
31st Chinese, 2012, pp. 7552-7555.
[30] M. H. Beale, M. T. Hagan, and H. B. Demuth, MATLAB, Neural
Network Toolbox™ Getting Started Guide, R2014a.
[31] M. F. Moller, "A scaled conjugate gradient algorithm for fast supervised
learning," Neural Networks, vol. 6, pp. 525-533, 1993.
[1] S. Prabhakar, S. Pankanti, and A. K. Jain, "Biometric recognition:
security and privacy concerns," Security & Privacy, IEEE, vol. 1, pp. 33-
42, 2003.
[2] Z. e. ˇR´ıha and V. a. M. a. s. Jr., "Biometric Authentication Systems,"
November 2000.
[3] F. Al-Harby, R. Qahwaji, and M. Kamala, "The Effects of Gender
Differences in the Acceptance of Biometrics Authentication Systems
within Online Transaction," in CyberWorlds, 2009. CW '09.
International Conference on, 2009, pp. 203-210.
[4] V. Conti, S. Vitabile, and F. Sorbello, "Fingerprint Traits and RSA
Algorithm Fusion Technique," in Complex, Intelligent and Software
Intensive Systems (CISIS), 2012 Sixth International Conference on,
2012, pp. 351-356.
[5] J. Daugman, "How iris recognition works," Circuits and Systems for
Video Technology, IEEE Transactions on, vol. 14, pp. 21-30, 2004.
[6] K. Ito, A. Morita, T. Aoki, T. Higuchi, H. Nakajima, and K. Kobayashi,
"A fingerprint recognition algorithm using phase-based image matching
for low-quality fingerprints," in Image Processing, 2005. ICIP 2005.
IEEE International Conference on, 2005, pp. II-33-6.
[7] M. G. Ullah, B. S. Chowdhary, S. Latif, A. Q. Rajput, and J. Ahmed,
"Pattern Matching Algorithm using Polar Spectrum in Retina
Recognition for Human Identification System," Australian Journal of
Basic and Applied Sciences, vol. 5(10): 1385-1392, 2011.
[8] A. Hamadene, Y. Chibani, and H. Nemmour, "Off-Line Handwritten
Signature Verification Using Contourlet Transform and Co-occurrence
Matrix," in Frontiers in Handwriting Recognition (ICFHR), 2012
International Conference on, 2012, pp. 343-347.
[9] C. F. Huang, P. W. Peng, C. M. Cheng, J. S. Tsai, W. T. Wang, C. T.
Hsu, et al., "Direct Visualization of DNA Recognition by Restriction
Endonuclease EcoRI," Journal of Experimental & Clinical Medicine,
2013.
[10] J. Pylkkönen, "Towards Efficient and Robust Automatic Speech
Recognition: Decoding Techniques and Discriminative Training," A
doctoral dissertation of Science in Technology, School of Science
Department of Information and Computer Science, Aalto University,
2013.
[11] R. M. Mutelo, and W. L. Woo, “Two Dimensional Fisher Discriminant
for Small Sample Size Face Biometric Recognition”, Mediterranean
Journal of Computers and Networks, vol. 2, no. 4, pp. 174-184, 2006.
[12] M. A. Dabbah, W. L. Woo, and S. S. Dlay, "Appearance-Based
Biometric Recognition: Secure Authentication and Cancellability,” in
Proc. of 15th Int. Conf. on Digital Signal Processing, Cardiff, United
Kingdom, 1-4 July 2007, pp. 479-482.
[13] R. M. Mutelo, W. L. Woo, and S. S. Dlay, "Two Dimensional
Orthogonal Wavelet Features for Image Representation and
Recognition,” in Proc. of 15th Int. Conf. on Digital Signal Processing,
Cardiff, United Kingdom, 1-4 July 2007, pp. 256-259.
[14] M. A. Dabbah, W. L. Woo, and S. S. Dlay, “Image-Based Facial
Recognition in the Domain of High-Order Polynomial One-Way
Mapping”, IET Image Processing, vol. 2, no. 3, pp. 139-149, June 2008.
[15] R. M. Mutelo, W. L. Woo, and S. S. Dlay, “A New Discriminant
Analysis of the Two Dimensional Gabor Features for Face
Recognition”, IET Computer Vision, vol. 2, no. 2, pp. 37-49, June 2008.
[16] M. A. Dabbah, W. L. Woo, and S. S. Dlay, “Secure Face Biometric
Verification in the Randomized Radon Space”, in Proc. of IEEE Int.
Conf. on Multimedia and Expo (ICME), Hannover, Germany, 23-26
June 2008.
[17] A. A. M. AL-Shiha, W. L. Woo, and S. S. Dlay, "Multi-linear
neighborhood preserving projection for face recognition," Pattern
Recognition, vol. 47, pp. 544–555, 2014.
[18] S. Sağiroğlu and N. Özkaya, "An Intelligent and Automatic Eye
Generation System from Only Fingerprints," in In Proceedings of Information Security and Cryptology Conference with International
Participation, Ankara, Turkey: METU Culture and Convention Center,
2008.
[19] S. Sağiroğlu and N. Özkaya, "An intelligent face features generation
system from fingerprints," Turk J Elec Eng & Comp Sci, vol. Vol.17,
No.2, 2009.
[20] S. Sagiroglu and N. Ozkaya, "Artificial neural network based automatic
face parts prediction system from only fingerprints," in Computational
Intelligence in Biometrics: Theory, Algorithms, and Applications, 2009.
CIB 2009. IEEE Workshop on, 2009, pp. 77-83.
[21] N. Özkaya and S. Sağiroğlu, "Generating One Biometric Feature from
Another: Faces from Fingerprints," Sensors, 10(5), 4206-4237, 2010.
[22] I. Barbantan and R. Potolea, "Enhancements on a signature recognition
problem," in Intelligent Computer Communication and Processing
(ICCP), 2010 IEEE International Conference on, 2010, pp. 141-147.
[23] J. Galbally, J. Fierrez, M. Martinez-Diaz, and J. Ortega-Garcia,
"Evaluation of Brute-force Attack to Dynamic Signature Verification
Using Synthetic Samples," in Document Analysis and Recognition,
2009. ICDAR '09. 10th International Conference on, 2009, pp. 131-135.
[24] Online Available: http://biometrics.idealtest.org/
[25] J. Galbally, R. Plamondon, J. Fierrez, and J. Ortega-Garcia, "Synthetic
on-line signature generation. Part I: Methodology and algorithms,"
Pattern Recognition, 2012.
[26] J. Galbally, J. Fierrez, J. Ortega-Garcia, and R. Plamondon, "Synthetic
on-line signature generation. Part II: Experimental validation," Pattern
Recognition, 2012.
[27] R. Singh and H. Om, "An overview of face recognition in an
unconstrained environment," in Image Information Processing (ICIIP),
2013 IEEE Second International Conference on, 2013, pp. 672-677.
[28] L. Fausett, Fundamental of Neural Networks, Architectures, Algorithms
and Applications: Printice Hall Int. Snc. , 1994.
[29] J. Li, G. Yin, and G. Zhang, "Evaluation of tobacco mixing uniformity
based on chemical composition," in Control Conference (CCC), 2012
31st Chinese, 2012, pp. 7552-7555.
[30] M. H. Beale, M. T. Hagan, and H. B. Demuth, MATLAB, Neural
Network Toolbox™ Getting Started Guide, R2014a.
[31] M. F. Moller, "A scaled conjugate gradient algorithm for fast supervised
learning," Neural Networks, vol. 6, pp. 525-533, 1993.
@article{"International Journal of Information, Control and Computer Sciences:68320", author = "Raid R. O. Al-Nima and S. S. Dlay and W. L. Woo", title = "A New Approach to Predicting Physical Biometrics from Behavioural Biometrics", abstract = "A relationship between face and signature biometrics
is established in this paper. A new approach is developed to predict
faces from signatures by using artificial intelligence. A multilayer
perceptron (MLP) neural network is used to generate face details
from features extracted from signatures, here face is the physical
biometric and signatures is the behavioural biometric. The new
method establishes a relationship between the two biometrics and
regenerates a visible face image from the signature features.
Furthermore, the performance efficiencies of our new technique are
demonstrated in terms of minimum error rates compared to published
work.
", keywords = "Behavioural biometric, Face biometric, Neural
network, Physical biometric, Signature biometric.", volume = "8", number = "11", pages = "2001-6", }
