抄録
An extraction method of personal features based on on-line handwritten characters including pen-pressure and pen-inclination information is proposed. In the proposed method, feature parameters extracted from handwriting information are classified into several categories and each category is weighted suitably according to the uniqueness of personal features. The proposed feature extraction method can be applied to text-independent writer verification. In this paper, the reliability of the proposed method with some simulation results using Japanese handwriting data is also discussed.
