Titlebook: Handbook of Remote Biometrics; for Surveillance and Massimo Tistarelli (Prof.),Stan Z. Li,Rama Chellap Book 2009 Springer-Verlag London 200

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Berk Gökberk,Albert Ali Salah,Neşe Alyüz,Lale AkarunIn this chapter, we describe confidence intervals and explain how they may be derived. We consider a number of classical confidence intervals, for population means and population variances, and discuss a number of examples using them.

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Face Recognition at a Distance: System IssuesFace recognition at a distance (FRAD) is one of the most challenging forms of face recognition applications. In this chapter, we analyze issues in FRAD system design, which are not addressed in near-distance face recognition, and present effective solutions for making FRAD systems for practical deployments. Evaluation of FRAD systems is discussed.

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https://doi.org/10.1007/978-1-84882-385-33D; algorithms; biometrics; fingerprint; fingerprint recognition; learning; machine learning; verification

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Iris Recognition – Beyond One Meterms that have been very effective. The systems deployed to date make use of iris Remote Biometric cameras that require significant user cooperation; that in turn imposes significant constraints on the deployment scenarios that are practical..There are many applications in which it would be useful to

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Advanced Technologies for Touchless Fingerprint RecognitionThe quantity and direction of the pressure applied by the user, the skin conditions, and the projection of an irregular 3D object (the finger) onto a 2D flat plane introduce distortions, noise, and inconsistencies on the captured fingerprint image. Due to these negative effects, the representation o

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