This paper reports on experiments investigating the effects of packet loss for two online signature verification systems distributed over the Internet. The effects on verification performance of using different signature data recovery strategies are explored. Justifications are given taking into account the statistical nature of the signature models used for the verification task. Under realistic packet loss conditions, it is found that marginalising the lost feature vectors at the verification stage outperforms other feature-based data imputation methods such as packet repetition.