False reject rate is a statistic used to measure biometric performance
when operating in the verification task and it usually calculated as the
percentage of times the system produces a false reject. A false reject
occurs when an individual is not matched to their own existing biometric
template. For example: John claims to be John, but the system incorrectly
denies the verification. This can be particularly frustrating for an end user
who knows that they are enrolled in the system and should be recognized and
verified, but for some reason the system is incorrectly rejecting their
scan. This can cause unnecessary logjams, affect service, frustrate staff
and negatively impact productivity.
Biometrics, in the simplest sense, is the measurement of the human body. It is the science of analyzing physical or behavioral attributes distinct to each person in order to be able to validate their individuality. Biometrics authentication is replacing traditional passwords and PINs day by day and within four years we can see rapid adoption of it according to a study governed by Strategy Analytics. There are different methods of biometric data gathering and reading according to your requirements. There is no one method which does the perfect job for everyone. Government agency or law enforcement agency might require some form of scalable biometric authentication methods whereas a small business farm could do with another form of authentication methods. These methods are also known as modalities. Here are 3of the top modalities which will help you decide the best modality for your business.

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