The unique nature of a fingerprint makes it ideal for use in automated recognition systems. A fingerprint is made of a series of ridges and grooves. Once a fingerprint is captured, the system locates the minutia points. These minutia points occur where the lines of the ridges begin, end, branch off and merge with other ridge lines. These points are then mapped and a line is drawn between each point. This creates a map of how each point relates to the other points. The map is then stored as a data stream, called a minutia template, in a database for future comparison with other presented fingerprints.
The organic nature of all biometric identifiers make it a constant challenge to produce a completely foolproof system. It is critical for any systems success to make allowances for those people who may have difficulty being captured on any particular biometric technology and our years of experience have consistently and constantly demonstrated that fingerprint biometrics, utilised with a second token of identification will provide the most appealing and manageable results in environments requiring high-security and acceptable access speeds.
False Rejection Rate (FRR) also known as False Non-Match Rate (FNMR)
FRR is a value that measures the percentage of times a biometric sample is matched against a single or multiple biometric templates where a biometric template exists but the likeness between the sample and template is below the decision threshold setting so no match occurs.
False Accept Rate (FAR) also known as False Match Rate (FMR)
FAR is a value that measures the percentage of times a biometric sample is matched against a single or multiple biometric templates where a biometric template does not exist but the likeness between the sample and template is above the decision threshold setting so a match incorrectly occurs.