Improving sigma-lognormal parameter extraction

A fully automatic framework based on the kinematic theory of rapid human movements was recently introduced for analyzing and modeling complex human movements patterns such as those involved in handwriting. In this paper, we present a new approach to better extract and estimate the lognormal primitives and parameters. Through a comprehensive evaluation using 32,000 words from a public database, we show that our approach greatly improves the state-of-the-art extractor.