1.What is a false reject rate What is a false accept rate How are they related to the crossover error rate - Essay Example

False Reject Rate False Reject Rate Biometrics, also referred to as biometric authentication, is the study through which human identity is recognized by its traits and characteristics. Computer science biometrics, to be precise, identifies individuals and determines the level of access controls (Jain, 1999). There are various types of biometric identification. These include the face, fingerprints, hand geometry, vein or voice.False Reject Rate (FRR) False Reject Rate is also known as Type I error or False Non- match Rate.

It is the degree of probability that the biometric system will incorrectly reject the access of an authorized person. This occurs when a biometric template does not tally with the person. They become unidentified or unverified by the system. This, in a working environment, can cause unnecessary frustration on the staff, logjams, thus reducing productivity (Jain, 1999).False Accept Rate (FAR) False Accept Rate also known as Type II error or False Match Rate (Jain, 1999). It is the degree of probability that the biometric system will incorrectly accept input pattern of the unauthorized persons to the non-matching template, thus, being identified by the system.

Relationship between Cross Error Rate, False Reject Rate and False Accept Rate Cross Error Rate, also known as the Equal Error Rate (EER), is the point at which the False Reject Rate and the False Accept Rate are equal (Jain, 1999). When the identifying device gets to be more sensitive and accurate, the false accept rate (FAR) goes down, and the false reject rate (FRR) goes up, hence, the intersection point.Operating CurveFRRCERFARReferenceJain, A. K. (1999). Biometrics in networked society. University of Cagliari: Cagliari.