Titlebook: Biometric Authentication; International ECCV 2 Massimo Tistarelli,Josef Bigun,Anil K. Jain Conference proceedings 2002 Springer-Verlag Berl

Prostaglandins

Biometric Identification in Forensic Cases According to the Bayesian Approachteristic, showing how forensic speaker recognition can be reported by means of bayesian technique. Results including NIST-Ahumada and providing LR scores in the form of Tippet plots (and compared with DET plots) will be finally presented.

暫時(shí)中止

水槽

Resistance

Characterization and Properties,tch experimental findings in multimedia perception. We show how the measure can be used for identification/authentication of complex biometric objects, such as faces and its emotions, voices, and so on. We address the use of the pseudo-entropy measure . to deal with relations among the varied properties of 1D, 2D and 3D biometric objects.

defile

tympanometry

Nausicaa Pouscoulous,Ira A. Noveckper, we propose a threshold adaptation method, in which a reference renewal using the matching error of last five authenticated data is done. And, we show that the proposed method is effective to maintain verification rate with 91.2% using genuine and forgery signatures over 9 weeks.

galley

Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignmentated from the global structure of the fingerprint, i.e. the overall pattern of the ridges and valleys. Complex filters, applied to the orientation field in multiple resolution scales, are used to detect the symmetry and the type of symmetry. Experimental results are reported.

Bravura

Pseudo-entropy Similarity for Human Biometricstch experimental findings in multimedia perception. We show how the measure can be used for identification/authentication of complex biometric objects, such as faces and its emotions, voices, and so on. We address the use of the pseudo-entropy measure . to deal with relations among the varied properties of 1D, 2D and 3D biometric objects.

Amendment

Genetic Model Optimization for Hausdorff Distance-Based Face Localizationesent an optimization approach that creates and successively improves such a model by means of genetic algorithms. To speed up the process and to prevent early saturation we use a special bootstrapping method on the sample set. Several initialization functions are tested and compared.

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