By Enrique Argones Rúa, José Luis Alba Castro, Carmen García Mateo (auth.), Ben Schouten, Niels Christian Juul, Andrzej Drygajlo, Massimo Tistarelli (eds.)
This quantity constitutes the post-conference complaints of the 1st eu Workshop on Biometrics and id administration, BIOID 2008, held in Roskilde, Denmark, in the course of may perhaps 7-9, 2008.
The 23 general papers offered have been rigorously chosen from a number of submissions. They conceal the subsequent subject matters: biometric info caliber; biometrical templates - face acceptance; biometrical templates -- different modalities; biometric assaults and countermeasures; biometric interfaces, and criteria and privateness. those papers are provided including four place papers through invited audio system on biometrics and identification administration.
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Additional info for Biometrics and Identity Management: First European Workshop, BIOID 2008, Roskilde, Denmark, May 7-9, 2008. Revised Selected Papers
MCS 2007. LNCS, vol. 4472, pp. 344–356. Springer, Heidelberg (2007) Definition of Fingerprint Scanner Image Quality Specifications by Operational Quality A. Alessandroni1, R. Cappelli2, M. Ferrara2, and D. it Abstract. This paper analyzes two recently released image quality specifications for single-finger scanners and proposes three new specifications targeted to different types of applications. A comparison of the potential effects on fingerprint recognition accuracy of the various specifications is carried out using an approach based on the definition of “operational quality”.
Improving classiﬁcation with class-independent quality measures: Q-stack in face veriﬁcation. Z. ) ICB 2007. LNCS, vol. 4642. Springer, Heidelberg (2007) 4. : Q-stack: uni- and multimodal classiﬁer stacking with quality measures. In: Proc. 7th Intl. Workshop on Multiple Classiﬁer Systems, Prague, Czech Republic (May 2007) 5. S. VISIT program. In: Proc. National Academy of Sciences (2005) 6. : Quality-based score level fusion in multibiometric systems. In: Proc. International Conference on Pattern Recognition, Hong Kong, China, vol.
1, it is useful to compare the five IQS as shown in Table 3, where the “strictness” of the various quality parameters with respect to the FBI IAFIS IQS  is highlighted. The most “tolerant” specification is CNIPA-C, which has the least demanding requirements for all the parameters: as it was reasonable to expect, this specification can cause the largest performance drop (182% on the average). Less tolerant but still not very strict are PIV and CNIPA-B (both with three “L” and three “M” requirements); however the loss of performance that can be caused by them is definitely different: on the average 156% and 44%, respectively.