false rejection

false rejection

[¦fȯls ri′jek·shən]
(statistics)
Rejecting on the basis of a statistical test a hypothesis which is correct.
References in periodicals archive ?
The results of the image-capture data from the tests far exceeded the FRR (False Rejection Rate) and FAR (False Acceptance Rate) benchmarks required for certification.
These features reduce false rejection rates and improve product quality by identifying each object, which in turn improves detection of color, shape and foreign materials.
On other hand, fingerprint sensors suffer from some technical problems related to false rejection and conditional physical disability.
Speech biometric providers pride themselves on minuscule false acceptance and false rejection rates, both of which improve as providers collect more voice data and further tune their systems to offer their customers the best balance between accuracy and convenience.
4) Performance: The biometric template protection scheme should not degrade the recognition performance, false acceptance rate (FAR) and false rejection rate (FRR) of the biometric system [4], Due to some biometric vulnerabilities, lack of security because it is impossible to revoke biometric unlike password or token, and therefore if biometric is leaked out once and threat of forgery has occurred, the user cannot securely use his biometric anymore.
So, post processing (Kumar et al., 2011 and Sahu et al., 2016) was performed to remove such points to reduce False acceptance rate (FAR) and False rejection rate (FRR) of an image.
The term probability of false rejection (Pfr) is used to describe a situation where there are no analytical errors present except for the inherent imprecision or random error of the method.
The fingerprint sensors deliver a proven, secure and convenient user experience with outstanding false rejection rate (FRR) and false acceptance rate (FAR) performance.
With its recent advances in image processing and sensor technology, the company's current 2nd generation fingerprint terminal yields up to 5 times greater accuracy on dry skin or under cold weather conditions than competing units (in terms of false rejection rate).
The goal was for the QC rule to have a low probability of rejection when the batch was in control (probability of false rejection, [P.sub.fr]) and a high probability of rejection when the batch was out-of-control (probability of error detection, [P.sub.ed]) (3).
The evidence-based control limits are optimized for error detection, but with a low false rejection rate to remove the tendency of repeating the same control to resolve failures.
This can reduce false rejection rates, and improve product quality by identifying each object, in turn improving colour, shape and foreign material detection and ensuring product quality.