NEW MULTIPLE CLASSIFIER SYSTEMS FOR FACE AUTHENTIFICATION
Résumé
In this paper a multiple classifier systems for face verification is proposed based on the study of scores fusion for four face
authentication systems. Extraction features is realized by the Gabor wavelets phases, Principal Component Analysis (PCA)
with the Enhanced Fisher linear discriminant Model (EFM) are used as a method of reducing data space. For the study of
fusion of scores we used two approaches, the first based on the classification of scores using Fisher statistical method, Support
Vector Machine (SVM) and artificial neural networks (MLP) and the second is based on combinations of scores by the
weighted sum and fuzzy logic.
Références
A. OUAMANE & al
62
[18] S. Venkataraman, S. Kulkarni, Springer. Risk-Based
“Neuro-Grid Architecture for Multimodal
Biometrics,” T. Sobh, K. Elleithy (eds.), Innovations
in Computing Sciences and Software
Engineering.(2010) 3-9.
[19] F. WANG and J. HAN, “Multimodal biometric
authentication based on score level fusion using
support vector machine,” Springer. Opto−Electron.
17(1), 2009.
[20] A. Mellakh, “Reconnaissance des visages en conditions
dégradées,” Thèse de doctorat préparée au
Département Électronique et Physique. 07 Avril
(2009).
[21] A. Ouamane, M. Belahcène A. Benakcha, M.
Boumehrez, A. Taleb Ahmed, “The Classification of
Scores from Multi-classifiers for Face Verification,”
Soft Sensors and Artificial Neural Networks, Sensors
& Transducers Journal (ISSN 1726- 5479), Vol. 145,
No. 10, pp. 116-118, October 2012.
[22] M. Belahcène, A. Ouamane, M. Boumehrez & A.
Benakcha, “ Comparaison des méthodes de réduction
d’espace et l’application des SVMs pour la
classification dans l’authentification de visages,”
Courrier du Savoir, Université de Biskra, Revue 13,
mars 2012.
[23] R. Cappelli, D. Maio, and D. Maltoni, “Combining
Fingerprint Classifiers,” Springer. In. Proceedings of
the First International Workshop on Multiple
Classifier Systems. (2000) 351–361.
[24] K. Messer, J. Matas, J. Kittler, J. Luettin, and G.
Maitre, “XM2VTSDB: The Extended M2VTS
Database,” In Proceedings, International Conference
on Audio- and Video-Based Person Authentication.
72–77, 1999.
[25] A. K. Jain and A. Ross, “Multibiometric systems,
Communications of the ACM,” special issue on
multimodal interfaces. 47, (1), (2004) 34–40.
[26] Y. Ming, “Rigid area orthogonal spectral regression for
efficient 3D face recognition,” Neurocomputing,
volume 129, no. 10, pp. 445-457, 2014.
[27] M. Belahcène, A. Ouamane, A. Benakcha, A. Taleb
Ahmed, “The Combination of Scores from a Multi-
classifiers for Face Verification,” International
Conference on Embedded Systems in
Telecommunications and Instrumentation
(ICESTI'12): November 5-7, 2012 Annaba Algeria.
[28] R.A Fisher, “The use of multiple measures in
taxonomic problems,” Ann. Eugenics. 7 (1936) 179-
188.
[29] A. Ouamane, M. Belahcene, S. Bourennane,
“Multimodal 3D and 2D face authentication approach
using extended LBP and statistic local features
proposed,” Visual Information Processing (EUVIP),
4th European Workshop, pp.130-135, 2013
[30] A. Ouamane, M. Belahcène, A. Benakcha, M.
Boumehrez, A. Taleb Ahmed, “Identification of Faces
by Multimodal Information Fusion of Depth and
Color,” Sensors & Transducers Journal (ISSN 1726-
5479), Vol. 140, No. 5, pp. 74-87, May 2012.
[31] L.A. Zadeh, “Fuzzy sets,” Information Control. 8
(1965) 338–353.
[32] M. Belahcène, A. Ouamane, A. Taleb Ahmed, “Fusion
by combination of scores multibiometric
systems”,IEEEpublication(2011)voirhttp://ieeexplore.i
eee.org/xpl/mostrecentIssue.jsp?punumber=6034619.[1] Haindl, M. Kittler, J. Roli, F, Multiple “Classifier
Systems,” Springer Heidelberg. 4472 (1) (2007) 93-
12.
[2] Z. Yu, M. Young Nam, S.Sedai, P. Kyu Rhee,
“Evolutionary Fusion of a Multi-Classifier System for
Efficient Face Recognition,” ICROS, KIEE and
Springer. International Journal of Control, Automation
and Systems. 7(1) (2009) 33-40. 2009.
[3] L. Allano, “La Biométrie multimodale : Stratégies de
fusion de scores et mesures de dépendance appliquées
aux bases de personnes virtuelles,” Docorat thesis
Institut National des Télécommunications. 12 January
2009.
[4] F. R. Al-Osaimi, M. Bennamoun, and A. Mian,
“Spatially Optimized Data-Level Fusion of Texture
and Shape for Face Recognition,” IEEE Transactions
on Image Processing, vol. 21, no. 2, pp.859-872,
2012.
[5] Y. Wang, T. Tan, and A. Jain, “Combining face and
iris biometrics for identity verification,” In.
Proceedings of Fourth International Conference on
Audio- and Video-Based Authentication
(AVBPA).(2003) 805–813.
[6] P. Verlinde, P. Druyts, G. Cholet, and M. Acheroy,
“Applying Bayes based classifiers for decision fusion
in a multi-modal identity verification system,” In:
Proceedings of International Symposium on Pattern
Recognition. In Memoriam Pierre Devijver, Brussels,
Belgium. (1999).
[7] V. Chatzis, A. Bors, and I. Pitas, “Multimodal
decision-level fusion for person authentication,” IEEE
Transactions on Systems. Man and Cybernetics, Part
A: Systems and Humans. 29(6) (1999) 674–681.
[8] C. Sanderson and K. Paliwal, Information fusion and
person verification using speech and face
information,” IDIAP-RR (2002) 02-33.
[9] A. Ross and A. Jain, “Information fusion in
biometrics,” Pattern Recognition Letters. 24, (13)
(2003) 2115–2125.
[10] Kittler, J. Hatef, M. Duin, R.P.Matas, “On combining
classifiers,” IEEE Trans. Pattern Analysis and Mach.
Intell. 20(3) (1998) 226–239.
[11] S Rasheed, D. W. Stashuk, S. Mohamed S. Kamel,
“Diversity-based combination of non-parametric
classifiers for EMG signal decomposition,” Springer-
Verlag. London Limited. (2008) 385–408.
[12] C. Chia, N. Sherkat, and L. Nolle, “Confidence
Partition and Hybrid Fusion in Multimodal Biometric
Verification,” Springer. System. J. Fierrez et al.
(Eds.): BioID Multi Comm 2009, LNCS 5707, (2009)
212–219.
[13] Y. Li, J. Yin, E. Zhu, C. Hu, and H. Chen, “Studies of
Fingerprint Template Selection and Update,” Springer.
T.-h. Kim et al. (Eds.): FGCN Workshops and
Symposia, 28(2009) 150–163.
[14] A. Shukla and al, “Multimodal Biometric Systems,”
Springer. Towards Hybrid and Adaptive Computing.
307 (2010) 401–418.
[15] N. Morizet and J. Gilles, “A New Adaptive
Combination Approach to Score Level Fusion for
Face and Iris Biometrics Combining Wavelets and
Statistical Moments,” SVC 2008, 4th International
Symposium on Visual Computing, Las Vegas,
Nevada, USA (2008).
[16] X. Zhang, D. Liu, and J. Chen, “An Illumination
Independent Face Verification Based on Gabor
Wavelet and Supported Vector Machine,” Springer 15
(2008) 153–160.
[17] S. Pigeon, “Authentification multimodale d’identité,”
Thèse présentée en vue de l’obtention du grade de
Docteur en Sciences Louvain-la-Neuve Belgique,
Février (1999).
62
[18] S. Venkataraman, S. Kulkarni, Springer. Risk-Based
“Neuro-Grid Architecture for Multimodal
Biometrics,” T. Sobh, K. Elleithy (eds.), Innovations
in Computing Sciences and Software
Engineering.(2010) 3-9.
[19] F. WANG and J. HAN, “Multimodal biometric
authentication based on score level fusion using
support vector machine,” Springer. Opto−Electron.
17(1), 2009.
[20] A. Mellakh, “Reconnaissance des visages en conditions
dégradées,” Thèse de doctorat préparée au
Département Électronique et Physique. 07 Avril
(2009).
[21] A. Ouamane, M. Belahcène A. Benakcha, M.
Boumehrez, A. Taleb Ahmed, “The Classification of
Scores from Multi-classifiers for Face Verification,”
Soft Sensors and Artificial Neural Networks, Sensors
& Transducers Journal (ISSN 1726- 5479), Vol. 145,
No. 10, pp. 116-118, October 2012.
[22] M. Belahcène, A. Ouamane, M. Boumehrez & A.
Benakcha, “ Comparaison des méthodes de réduction
d’espace et l’application des SVMs pour la
classification dans l’authentification de visages,”
Courrier du Savoir, Université de Biskra, Revue 13,
mars 2012.
[23] R. Cappelli, D. Maio, and D. Maltoni, “Combining
Fingerprint Classifiers,” Springer. In. Proceedings of
the First International Workshop on Multiple
Classifier Systems. (2000) 351–361.
[24] K. Messer, J. Matas, J. Kittler, J. Luettin, and G.
Maitre, “XM2VTSDB: The Extended M2VTS
Database,” In Proceedings, International Conference
on Audio- and Video-Based Person Authentication.
72–77, 1999.
[25] A. K. Jain and A. Ross, “Multibiometric systems,
Communications of the ACM,” special issue on
multimodal interfaces. 47, (1), (2004) 34–40.
[26] Y. Ming, “Rigid area orthogonal spectral regression for
efficient 3D face recognition,” Neurocomputing,
volume 129, no. 10, pp. 445-457, 2014.
[27] M. Belahcène, A. Ouamane, A. Benakcha, A. Taleb
Ahmed, “The Combination of Scores from a Multi-
classifiers for Face Verification,” International
Conference on Embedded Systems in
Telecommunications and Instrumentation
(ICESTI'12): November 5-7, 2012 Annaba Algeria.
[28] R.A Fisher, “The use of multiple measures in
taxonomic problems,” Ann. Eugenics. 7 (1936) 179-
188.
[29] A. Ouamane, M. Belahcene, S. Bourennane,
“Multimodal 3D and 2D face authentication approach
using extended LBP and statistic local features
proposed,” Visual Information Processing (EUVIP),
4th European Workshop, pp.130-135, 2013
[30] A. Ouamane, M. Belahcène, A. Benakcha, M.
Boumehrez, A. Taleb Ahmed, “Identification of Faces
by Multimodal Information Fusion of Depth and
Color,” Sensors & Transducers Journal (ISSN 1726-
5479), Vol. 140, No. 5, pp. 74-87, May 2012.
[31] L.A. Zadeh, “Fuzzy sets,” Information Control. 8
(1965) 338–353.
[32] M. Belahcène, A. Ouamane, A. Taleb Ahmed, “Fusion
by combination of scores multibiometric
systems”,IEEEpublication(2011)voirhttp://ieeexplore.i
eee.org/xpl/mostrecentIssue.jsp?punumber=6034619.[1] Haindl, M. Kittler, J. Roli, F, Multiple “Classifier
Systems,” Springer Heidelberg. 4472 (1) (2007) 93-
12.
[2] Z. Yu, M. Young Nam, S.Sedai, P. Kyu Rhee,
“Evolutionary Fusion of a Multi-Classifier System for
Efficient Face Recognition,” ICROS, KIEE and
Springer. International Journal of Control, Automation
and Systems. 7(1) (2009) 33-40. 2009.
[3] L. Allano, “La Biométrie multimodale : Stratégies de
fusion de scores et mesures de dépendance appliquées
aux bases de personnes virtuelles,” Docorat thesis
Institut National des Télécommunications. 12 January
2009.
[4] F. R. Al-Osaimi, M. Bennamoun, and A. Mian,
“Spatially Optimized Data-Level Fusion of Texture
and Shape for Face Recognition,” IEEE Transactions
on Image Processing, vol. 21, no. 2, pp.859-872,
2012.
[5] Y. Wang, T. Tan, and A. Jain, “Combining face and
iris biometrics for identity verification,” In.
Proceedings of Fourth International Conference on
Audio- and Video-Based Authentication
(AVBPA).(2003) 805–813.
[6] P. Verlinde, P. Druyts, G. Cholet, and M. Acheroy,
“Applying Bayes based classifiers for decision fusion
in a multi-modal identity verification system,” In:
Proceedings of International Symposium on Pattern
Recognition. In Memoriam Pierre Devijver, Brussels,
Belgium. (1999).
[7] V. Chatzis, A. Bors, and I. Pitas, “Multimodal
decision-level fusion for person authentication,” IEEE
Transactions on Systems. Man and Cybernetics, Part
A: Systems and Humans. 29(6) (1999) 674–681.
[8] C. Sanderson and K. Paliwal, Information fusion and
person verification using speech and face
information,” IDIAP-RR (2002) 02-33.
[9] A. Ross and A. Jain, “Information fusion in
biometrics,” Pattern Recognition Letters. 24, (13)
(2003) 2115–2125.
[10] Kittler, J. Hatef, M. Duin, R.P.Matas, “On combining
classifiers,” IEEE Trans. Pattern Analysis and Mach.
Intell. 20(3) (1998) 226–239.
[11] S Rasheed, D. W. Stashuk, S. Mohamed S. Kamel,
“Diversity-based combination of non-parametric
classifiers for EMG signal decomposition,” Springer-
Verlag. London Limited. (2008) 385–408.
[12] C. Chia, N. Sherkat, and L. Nolle, “Confidence
Partition and Hybrid Fusion in Multimodal Biometric
Verification,” Springer. System. J. Fierrez et al.
(Eds.): BioID Multi Comm 2009, LNCS 5707, (2009)
212–219.
[13] Y. Li, J. Yin, E. Zhu, C. Hu, and H. Chen, “Studies of
Fingerprint Template Selection and Update,” Springer.
T.-h. Kim et al. (Eds.): FGCN Workshops and
Symposia, 28(2009) 150–163.
[14] A. Shukla and al, “Multimodal Biometric Systems,”
Springer. Towards Hybrid and Adaptive Computing.
307 (2010) 401–418.
[15] N. Morizet and J. Gilles, “A New Adaptive
Combination Approach to Score Level Fusion for
Face and Iris Biometrics Combining Wavelets and
Statistical Moments,” SVC 2008, 4th International
Symposium on Visual Computing, Las Vegas,
Nevada, USA (2008).
[16] X. Zhang, D. Liu, and J. Chen, “An Illumination
Independent Face Verification Based on Gabor
Wavelet and Supported Vector Machine,” Springer 15
(2008) 153–160.
[17] S. Pigeon, “Authentification multimodale d’identité,”
Thèse présentée en vue de l’obtention du grade de
Docteur en Sciences Louvain-la-Neuve Belgique,
Février (1999).
Comment citer
OUAMANE, A.; BELAHCENE, M..
NEW MULTIPLE CLASSIFIER SYSTEMS FOR FACE AUTHENTIFICATION.
Courrier du Savoir, [S.l.], v. 18, juin 2014.
ISSN 1112-3338.
Disponible à l'adresse : >https://revues.univ-biskra.dz/index.php/cds/article/view/649>. Date de consultation : 25 avr. 2024
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