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- Fierrez, Julian, et al.
(author)
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BiosecurID : A Multimodal Biometric Database
- 2010
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In: Pattern Analysis and Applications. - New York, USA : Springer-Verlag New York. - 1433-7541 .- 1433-755X. ; 13:2, s. 235-246
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Journal article (peer-reviewed)abstract
- A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol. The database includes eight unimodal biometric traits, namely: speech, iris, face (still images, videos of talking faces), handwritten signature and handwritten text (on-line dynamic signals, off-line scanned images), fingerprints (acquired with two different sensors), hand (palmprint, contour-geometry) and keystroking. The database comprises 400 subjects and presents features such as: realistic acquisition scenario, balanced gender and population distributions, availability of information about particular demographic groups (age, gender, handedness), acquisition of replay attacks for speech and keystroking, skilled forgeries for signatures, and compatibility with other existing databases. All these characteristics make it very useful in research and development of unimodal and multimodal biometric systems. © Springer-Verlag London Limited 2009.
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- Sooriakumaran, P, et al.
(author)
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Reply to Gianluca Giannarini, Nazareno Suardi and Alberto Briganti's letter to the editor re: Prasanna Sooriakumaran, Abhishek Srivastava, Shahrokh F. Shariat, et al. A multinational, multi-institutional study comparing positive surgical margin rates among 22 393 open, laparoscopic, and robot-assisted radical prostatectomy patients. Eur Urol. In press. http://dx.doi.org/10.1016/j.eururo.2013.11.018
- 2014
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In: European urology. - : Elsevier BV. - 1873-7560 .- 0302-2838. ; 65:6, s. E91-E92
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Journal article (other academic/artistic)
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