Modification of Intersession Variability in On-Line Signature Verifier

Abstract

For Pen-input on-line signature verification algorithms, the influence of intersession variability is a considerable problem because hand-written signatures change with time, causing performance degradation. In our previous work, we proposed a user-generic model using AdaBoost. However, this model did not allow for the fact that features of signatures change over time. In this paper, we propose a template renewal method to reduce the performance degradation caused by signature changes over time. In our proposed method, the oldest template is replaced with a new one if the new signature data gives rise to an index which exceeds a threshold value. No further learning is necessary. A preliminary experiment was conducted on a subset of the MCYT database.