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Application design
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In
the above example, you will notice that the final choice of a
biometric came relatively far down the list. We should only be
considering this parameter once we have fully understood the
business requirement and the potential benefit that adopting a
biometric system might bring.
In
defining the specification required, we should concern ourselves
with perceived ease of use, acceptable transaction time, contingency
measures for errors, where the biometric template should be stored,
enrolment procedures and logistics and general compatibility and
connectivity issues.
We
should also understand the distinction between verification and
identification. In short, verification is a straightforward one to
one check whereby we are comparing a live biometric sample with a
single stored template with a simple match or no match result.
Identification is a different kettle of fish entirely as we may be
seeking to compare a live biometric sample with hundreds, thousands
or conceivably even millions of stored templates. The probability of
errors multiplies with the number of templates in the database.
Currently, there is really only one commercially available product
which offers the promise of practical identification from a large
database of templates. For the majority of applications we are
probably going to be concerned with biometric verification..
We
must also consider where the biometric template (the individual
reference derived from taking a biometric sample or series of
samples) will be stored. It may be that the template is stored on a
token such as a chip card and input into the system by the user
prior to verification. This would certainly allow for a large user
base as well as a degree of portability between systems and would
provide for automatic updating of templates if appropriate.
Alternatively, we may decide to keep the templates on a central
database and call them from either a card swipe or PIN input for
comparison. This decision will naturally have an impact on system
hardware and configuration - if we are maintaining a central
database we had better be sure about our system host and it's
communication with the biometric readers, not to mention the usual
database maintenance and backup requirements.
Whilst we are on the subject of hardware, it is worth stressing the
importance of understanding the cabling and line termination
requirements of different communication protocols. Lack of attention
to detail in this area can often result in temperamental performance
and perceived intermittent faults which can be difficult to trace
subsequently. Whilst this may seem like stating the obvious, it is
surprising how often otherwise well designed systems are tripped
over by poor installation practice.
You
will have noticed that we have got a long way into this paper
without trundling out the usual marketing promises about biometrics
or contemplating the old chestnuts of false accepts / false rejects
etc. This is deliberate - one can concentrate too much on the
theoretical individual device performance issues. The performance we
should concern ourselves with is that of the entire system, not
individual components. In the real world, theoretical performance
may be influenced greatly by other less quantitative parameters. For
example, a badly sited reader which is difficult for individuals to
use comfortably will almost certainly result in increased false
rejects, even though the system may be functioning properly.
Similarly, a lack of training or understanding among both system
administrators and regular users will play havoc with your
anticipated performance. The operational processes coupled to the
perception and attitude of the user are as much of a performance
criterion as biometric hardware specifications. These elements,
coupled with overall system design and component performance combine
to produce the Total System Performance (TSP). It is the TSP that we
should have uppermost in our minds throughout the development and
implementation of the entire project.
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