Multiple classifiers in biometrics. Part 2: Trends and challenges
作者： Julian Fierrez , Aythami Morales , Ruben Vera-Rodriguez , David Camacho
DOI: 10.1016/J.INFFUS.2017.12.005
关键词: Biometrics 、 Multiple classifier 、 Multimodal biometrics 、 Computer science 、 Architecture 、 Data science 、 Information fusion 、 Exploit 、 Classifier (UML)
摘要: Abstract The present paper is Part 2 in this series of two papers. In 1 we provided an introduction to Multiple Classifier Systems (MCS) with a focus into the fundamentals: basic nomenclature, key elements, architecture, main methods, and prevalent theory framework. then overviewed application MCS particular field multimodal biometric person authentication last 25 years, as prototypical area which has resulted important achievements. Here more technical detail recent trends developments coming from biometrics that incorporate context information adaptive way. These new architectures exploit input quality measures pattern-specific particularities move apart general population statistics, resulting robust systems. Similarly 1, methods here are described way so they can be applied other fusion problems well. Finally, also discuss open challenges play role.
sci-hub.se 参考文章(81)
Ludmila I. Kuncheva, Classifier Ensembles for Changing Environments multiple classifier systems. pp. 1- 15 ,(2004) , 10.1007/978-3-540-25966-4_1
Ajay Kumar, David Zhang, Integrating palmprint with face for user authentication International Workshop on Multimodal User Authentication. ,(2003)
Norman Poh, Samy Bengio, An Investigation of F-ratio Client-Dependent Normalisation on Biometric Authentication Tasks IDIAP. ,(2004)
Norman Poh, Samy Bengio, Improving fusion with margin-derived confidence in biometric authentication tasks Lecture Notes in Computer Science. pp. 474- 483 ,(2005) , 10.1007/11527923_49
J. Bigün, B. Duc, F. Smeraldi, S. Fischer, A. Makarov, Multi-Modal Person Authentication NATO ASI series. Series F : computer and system sciences. pp. 26- 50 ,(1998) , 10.1007/978-3-642-72201-1_2
Kar-Ann Toh, Wei-Yun Yau, Eyung Lim, Lawrence Chen, Chin-Hon Ng, None, Fusion of Auxiliary Information for Multi-modal Biometrics Authentication Lecture Notes in Computer Science. pp. 678- 685 ,(2004) , 10.1007/978-3-540-25948-0_92
Karthik Nandakumar, Anil K. Jain, Biometric Template Protection: Bridging the performance gap between theory and practice IEEE Signal Processing Magazine. ,vol. 32, pp. 88- 100 ,(2015) , 10.1109/MSP.2015.2427849
E. S. Bigün, J. Bigün, B. Duc, S. Fischer, Expert Conciliation for Multi Modal Person Authentication Systems by Bayesian Statistics AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication. pp. 291- 300 ,(1997) , 10.1007/BFB0016008
Abdenour Hadid, Nicholas Evans, Sebastien Marcel, Julian Fierrez, Biometrics systems under spoofing attack: an evaluation methodology and lessons learned IEEE Signal Processing Magazine. ,vol. 32, pp. 20- 30 ,(2015) , 10.1109/MSP.2015.2437652
Belén Ríos-Sánchez, Miguel F. Arriaga-Gómez, Javier Guerra-Casanova, Daniel de Santos-Sierra, Ignacio de Mendizábal-Vázquez, Gonzalo Bailador, Carmen Sánchez-Ávila, gb2s μ MOD: A MUltiMODal biometric video database using visible and IR light Information Fusion. ,vol. 32, pp. 64- 79 ,(2016) , 10.1016/J.INFFUS.2015.09.003