Dental Biometrics
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Data Protection ▶ Privacy Issues
▶ Fingerprint, Forensic Evidence of
Data Hiding
Database Filtering
Data hiding techniques can be used to insert additional information, namely the watermark, into a digital object. The watermark can be used for a variety of applications ranging from copy protection, to data authentication, fingerprinting, broadcast monitoring, multimedia indexing, content based retrieval applications, medical imaging applications, etc. Within the framework of biometrics, robust data hiding techniques can be used to embed codes or timestamps into the template, in such a way that after the expiration date the template is useless. Another perspective is to hide the biometric template in a digital object to make it invisible when either transmitted or stored.
Filtering refers to limiting the number of entries in a database to be searched, based on characteristics of the interacting user. For example, if the user can be identified as a middle-aged male, the search can be restricted only to the subjects with this profile enrolled in the database. This greatly improves the speed or the search efficiency of the biometric system. Filtering reduces the probability of obtaining a wrong match, but this is offset by the fact that the errors in filtering also reduce the probability of obtaining a correct match. Hence, in general, filtering drastically reduces the time required for identification but can degrade the recognition accuracy.
▶ Conformance Testing for Biometric Data Inter-
▶ Soft Biometrics
change Formats, Standardization of ▶ Iris Template Protection
Daubert Standard Data Interchange Format ▶ Common Biometric Exchange Formats Framework
Standardization
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2009 Springer Science+Business Media, LLC
The Daubert standard is a legal precedent set in 1993 by the Supreme Court of the United States regarding the admissibility of expert witnesses’ testimony during
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Daugman Algorithm
federal legal proceedings (the citation is Daubert v. Merrell Dow Pharmaceuticals, 509 U.S. 579). ▶ Gait, Forensic Evidence of
Deformable Models T HOMAS A LBRECHT, M ARCEL LU¨ THI , T HOMAS V ETTER Computer Science Department, University of Basel, Switzerland
Synonyms
Daugman Algorithm ▶ Iris Encoding and Recognition using Gabor Wavelets
Dead Finger Detection ▶ Fingerprint Fake Detection
Decision Decision is the output result of a biometric system given a biometric sample. For a verification task, the decision is ‘‘reject or accept’’ of the claimed identity, while for identification task it is the identity of the presented subject or rejecting him or her as one of the enrolled subject. ▶ Performance Evaluation, Overview
Decision Criterion Adjustment ▶ Score Normalization Rules in Iris Recognition
Statistical Models; PCA (Principal Component Analysis); Active (Contour, Shape, Appearance) Models; Morphable Models
Definition The term Deformable Model describes a group of computer algorithms and techniques widely used in computer vision today. They all share the common characteristic that they model the var
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