弾性マッチングと固有変形を用いたオンライン文字認識

In online character recognition based on elastic matching, such as DP matching, many of misrecognitions are often due to overfitting, which is the phenomenon that a wrong reference pattern is closely fitted an input pattern by the matching. In this report, a technique to reduce those misrecognitions is proposed, where frequent deformations of each category, called eigen-deformations, are employed. In case of overfitting, the matching between the two patterns will not be expressed by the eigen-deformations of the category of the reference pattern. Thus, the overfitting can be detected by evaluating the divergence of the matching result from the eigen-deformations. The results of recognition experiment showed the usefulness of the proposed technique.