Sample Selection for Optimising Signature Enrolment

Accurate and representative template construction

is critical for the successful and robust operation of

dynamic signature verification systems. This paper

presents a comparison of enrolment sample selection

strategies using a large database of donated signature

samples. Enrolment strategies evaluated include several

that are based on sample variance within standard

signature performance features, together with a series of

established reference methods used for purposes of

“baseline” comparison. Sample selection enrolment

strategies are tested on two representative commercial

signature verification systems by assessing the rate of

successful enrolment and verification. The results show

that using a prediction method based on the

measurement of variance within samples for selection

increases the ability to successfully enrol. The

investigation is thus important in helping to develop

possible best practice for implementing effective

enrolment procedures.