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Books > Computing & IT > Applications of computing > Pattern recognition
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Biometric Authentication - ECCV 2004 International Workshop, BioAW 2004, Prague, Czech Republic, May 15, 2004, Proceedings (Paperback, 2004 ed.)
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Biometric Authentication - ECCV 2004 International Workshop, BioAW 2004, Prague, Czech Republic, May 15, 2004, Proceedings (Paperback, 2004 ed.)
Series: Lecture Notes in Computer Science, 3087
Expected to ship within 10 - 15 working days
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Total price: R1,622
Discovery Miles: 16 220
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Biometric authentication is increasingly gaining popularity in a
large spectrum ofapplications,rangingfromgovernmentprograms(e. g.
,nationalIDcards,visas for international travel,and the ?ght
against terrorism) to personal applications such as logical and
physical access control. Although a number of e?ective - lutions
are currently available, new approaches and techniques are
necessary to
overcomesomeofthelimitationsofcurrentsystemsandtoopenupnewfrontiers
in biometric research and development. The 30 papers presented at
Biometric Authentication Workshop 2004 (BioAW 2004) provided a
snapshot of current research in biometrics, and identify some new
trends. This volume is composed
of?vesections:facerecognition,?ngerprintrecognition,templateprotectionand
security, other biometrics, and fusion and multimodal biometrics.
For classical biometrics like ?ngerprint and face recognition, most
of the papers in Sect. 1 and 2 address robustness issues in order
to make the biometric systems work in suboptimal conditions:
examples include face detection and recognition - der uncontrolled
lighting and pose variations, and ?ngerprint matching in the case
of severe skin distortion. Benchmarking and interoperability of
sensors and liveness detection are also topics of primary interest
for ?ngerprint-based s- tems. Biometrics alone is not the solution
for complex security problems. Some of the papers in Sect. 3 focus
on designing secure systems; this requires dealing with safe
template storage, checking data integrity, and implementing
solutions in a privacy-preserving fashion. The match-on-tokens
approach, provided that current accuracy and cost limitations can
be satisfactorily solved by using new algorithms and hardware, is
certainly a promising alternative. The use of new biometric
indicators like eye movement, 3D ?nger shape, and soft traits (e.
g.
General
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