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The focus is on fingerprint-based systems, but other forms of biometrics will be mentioned as appropriate.INTRODUCTION One of the most important issues facing technology designers today is security.ABSTRACT Despite the long history of using fingerprints, some key concerns still remain about the accuracy of identification, the usability of fingerprint systems in different situations, and acceptance by the users.
The measurement of biometric accuracy is usually expressed as a percentage or proportion, with the data coming from simulations, laboratory experiments, or field trials.
There are four main measures of biometric accuracy: True Acceptance Rate (TAR) / True Match Rate (TMR): this measure represents the degree that the biometric system is able to correctly match the biometric information from the same person.
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First, there is a mathematical relationship between the corresponding true and false rates so that if one rate is known, the other can be calculated using 100% – X when working with percentages or 1.0 – X when working with proportions.
For example, if the TMR is 98%, the FMR must be 100% – 98% = 2%.
New users are provided, or asked to choose, a unique name and secret password that are associated with their account.
When they wish to access the system, they must provide a valid username and correct password before they are given access.
Second, there is inevitably a trade-off where attempts to minimize the false matches of a system tend to decrease the frequency of true matches.
System designers often have to adjust threshold values to get the best combination of true and false performance measures, and sometimes these adjustments are also available to customers who want to fine-tune their own biometric deployments.