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نرخ پذیرش اشتباه
Tests were carried out to find the best separation, so that the false match and false accept rate is minimised, and to confirm that iris recognition can perform accurately as a biometric for recognition of individuals.
The false accept rate (FAR), also known as Type II error [25], measures the probability of an individual being wrongly identified as another individual.
The false accept rate is defined by the normalised area between 0 and the separation point, K, in the inter-class distribution Pdiff- The false reject rate is defined as the normalised area between the separation point, K, and 1 in the intra-class distribution Psarne.
FAR = j (5.3)
Clearly the separation point will influence the false accept and false reject rates, since a lower separation Hamming distance will decrease FAR while increasing FRR, and vice versa.
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