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A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1 over the Internet, 2 in an office environment with desktop PC, and 3 in indoor/outdoor environments with mobile portable hardware. The three scenarios include a common part of audio/video data. Also, signature and fingerprint data have been acquired both with desktop PC and mobile portable hardware. Additionally, hand and iris data were acquired in the second scenario using desktop PC. Acquisition has been conducted by 11 European institutions. Additional features of the BioSecure Multimodal Database (BMDB) are: two acquisition sessions, several sensors in certain modalities, balanced gender and age distributions, multimodal realistic scenarios with simple and quick tasks per modality, cross-European diversity, availability of demographic data, and compatibility with other multimodal databases. The novel acquisition conditions of the BMDB allow us to perform new challenging research and evaluation of either monomodal or multimodal biometric systems, as in the recent BioSecure Multimodal Evaluation campaign. A description of this campaign including baseline results of individual modalities from the new database is also given. The database is expected to be available for research purposes through the BioSecure Association during 2008.

[1]  Anil K. Jain,et al.  Fingerprint Quality Indices for Predicting Authentication Performance , 2005, AVBPA.

[2]  P. Grother,et al.  MINEX Performance and Interoperability of the INCITS 378 Fingerprint Template Supplement F : Matching Same-image Templates , 2006 .

[3]  Julian Fiérrez,et al.  HMM-based on-line signature verification: Feature extraction and signature modeling , 2007, Pattern Recognit. Lett..

[4]  Arun Ross,et al.  Biometric template selection and update: a case study in fingerprints , 2004, Pattern Recognit..

[5]  Venu Govindaraju Biometrics and Security , 2009, ICISS.

[6]  Julian Fiérrez,et al.  Sensor Interoperability and Fusion in Signature Verification: A Case Study Using Tablet PC , 2005, IWBRS.

[7]  Elham Tabassi,et al.  Performance of Biometric Quality Measures , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Bernadette Dorizzi,et al.  On Using the Viterbi Path Along With HMM Likelihood Information for Online Signature Verification , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[9]  Ieee Xplore,et al.  IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Jean-Philippe Thiran,et al.  The BANCA Database and Evaluation Protocol , 2003, AVBPA.

[11]  Arun Ross,et al.  A Thin-Plate Spline Calibration Model For Fingerprint Sensor Interoperability , 2008, IEEE Transactions on Knowledge and Data Engineering.

[12]  Rolf Ingold,et al.  MYIDEA - MULTIMODAL BIOMETRICS DATABASE, DESCRIPTION OF ACQUISITION PROTOCOLS , 2005 .

[13]  Patrick J. Grother,et al.  MINEX Performance and Interoperability of the INCITS 378 Fingerprint Template | NIST , 2006 .

[14]  J. Fierrez-Aguilar,et al.  On the Vulnerability of Fingerprint Verification Systems to Fake Fingerprints Attacks , 2006, Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology.

[15]  Gérard Chollet,et al.  BIOMET: A Multimodal Person Authentication Database Including Face, Voice, Fingerprint, Hand and Signature Modalities , 2003, AVBPA.

[16]  Julian Fiérrez,et al.  A Comparative Study of Fingerprint Image-Quality Estimation Methods , 2007, IEEE Transactions on Information Forensics and Security.

[17]  Xiaoou Tang,et al.  THE MULTI-BIOMETRIC , MULTI-DEVICE AND MULTILINGUAL ( M 3 ) CORPUS , 2006 .

[18]  Farzin Deravi,et al.  Design issues for a digital audio-visual integrated database , 1996 .

[19]  Raymond N. J. Veldhuis,et al.  Sensor Interoperability and Fusion in Fingerprint Verification: A Case Study using Minutiae-and Ridge-Based Matchers , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[20]  Bernadette Dorizzi,et al.  Guide to Biometric Reference Systems and Performance Evaluation , 2009 .

[21]  Florian Schiel,et al.  The SmartKom Multimodal Corpus at BAS , 2002, LREC.

[22]  Javier Garrido Salas,et al.  BiosecurID: a multimodal biometric database , 2009, Pattern Analysis and Applications.

[23]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[24]  Avinash C. Kak,et al.  PCA versus LDA , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[25]  Julian Fiérrez,et al.  Biosec baseline corpus: A multimodal biometric database , 2007, Pattern Recognit..

[26]  Ming-Hsuan Yang,et al.  Learning Gender with Support Faces , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[27]  Juan J. Igarza,et al.  MCYT baseline corpus: a bimodal biometric database , 2003 .

[28]  C. Champod,et al.  Multimodal biometrics for identity documents (MBioID). , 2007, Forensic science international.

[29]  C. Champod,et al.  Multimodal biometrics for identity documents ( ) , 2007 .

[30]  Jiri Matas,et al.  On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[31]  Michael C. Fairhurst,et al.  Biosecure reference systems for on-line signature verification: A study of complementarity , 2007, Ann. des Télécommunications.

[32]  J. L. Wayman,et al.  Best practices in testing and reporting performance of biometric devices. , 2002 .

[33]  James L. Wayman,et al.  A Path Forward for Multi-biometrics , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[34]  Jiri Matas,et al.  XM2VTSDB: The Extended M2VTS Database , 1999 .

[35]  Arun Ross,et al.  Handbook of Biometrics , 2007 .

[36]  S.J. Elliott,et al.  An evaluation of fingerprint image quality across an elderly population vis-a-vis an 18-25 year old population , 2005, Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology.

[37]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[38]  Julian Fiérrez,et al.  Rapid and brief communication: Discriminative multimodal biometric authentication based on quality measures , 2005 .

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

[40]  Sharath Pankanti,et al.  Biometrics: a tool for information security , 2006, IEEE Transactions on Information Forensics and Security.

[41]  H. Damasio,et al.  IEEE Transactions on Pattern Analysis and Machine Intelligence: Special Issue on Perceptual Organization in Computer Vision , 1998 .

[42]  Javier Ortega-Garcia,et al.  Multimodal biometric databases: an overview , 2006 .

[43]  Libor Masek,et al.  Recognition of Human Iris Patterns for Biometric Identification , 2003 .

[44]  Anil K. Jain,et al.  FVC2000: Fingerprint Verification Competition , 2002, IEEE Trans. Pattern Anal. Mach. Intell..