An Introduction to Evaluating Biometric Systems

By P. Jonathon Phillips, Alvin F. Martin, Charles L. Wilson, Mark A. Przybocki. Computer, 2000

462 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/90ce227ec08053ea6acf9f9f9f53d8b7169574f2

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Citations in the corpus

Utility data annotation with Amazon Mechanical Turk (2008, background): “It is obvious from this figure that hips are much more difficult to localize compared to shoulders, knees, elbows, wrists, ankles, the head and the neck.”
The BANCA Database and Evaluation Protocol (2003, background): “Typically, an evaluation protocol defines a set of data, how it should be used by a system to perform a set of experiments and how the performance of the system should be computed [11].”
Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach (2007, methodology): “Extensive experiments conducted using the FERET data set [2] and during the FRVT 2002 study indicate that the success rate is not sufficient for critical applications.”
Automatic Signature Verification: The State of the Art (2008, background): “Furthermore, the approaches proposed in the literature cannot be easily compared due to the lack of large, public signature databases and widely accepted protocols for experimental tests [65], [73], [89], [247], [341].”
Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns (2001, background): “As is easily illustrated (see Belhumeur et al., 1997; Adini et al., 1997), the variability among frontal images of any given face even just from illumination alone can be much larger than the variability among images of different faces captured with fixed expression; and it has been noted that for i”
FVC2002: Second Fingerprint Verification Competition (2002, background): “The FVC2002 announcement clearly stated that, analogously to FVC2000, FVC2002 is not to be viewed as an official certification of fingerprint-based biometric systems, but simply as a technology evaluation [7,8], where algorithms compliant with a predefined protocol are evaluated on common databases.”
Biometrics: a tool for information security (2006, unknown): “[78].”
Biometric Authentication: A Review (2009, methodology): “There are various metrics which we can used to measure the performance of any biometric authentication techniques [15, 37, 38].”
Performance evaluation of fingerprint verification systems (2006, background): “NIST and others have suggested [28], [31] that biometric testing can be classified into “technology,” “scenario,” and “operational” evaluations.”