Tabassi, E.
(2010),
Image specific error rate: A biometric performance metric, 20th International Conference on Pattern Recognition ICPR), Istanbul, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=904876
(Accessed December 1, 2023)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Image specific error rate: A biometric performance metric
Published
Author(s)
Abstract
Image-specific false match and false non-match error rates are defined by inheriting concepts from the biometric zoo. These metrics support failure mode analyses by allowing association of a covariate (e.g., dilation for iris recognition) with a matching error rate without having to consider the covariate of a comparison image. Image-specific error rates are also useful in detection of ground truth errors in test datasets. Images with higher image-specific error rates are more difficult to recognize, so these metircs can be used to assess the level of difficulty of test corpora or partition a corpus into sets with varying level of difficulty. Results on use of image-specific error rates for ground-truth error detection, covariate analysis and corpus partitioning is presented.sion on a per-user basis.Conference Dates
August 22-26, 2010
Conference Location
Istanbul
Conference Title
20th International Conference on Pattern Recognition ICPR)
Pub Type
Conferences
Download Paper
Keywords
biometric, performance, evaluation, security, error rate, quality
Citation
Created August 20, 2010, Updated February 19, 2017