The feasibility of a parallel processing oriented character recognition method based on a dynamic model

The authors present a handwritten character recognition method along with experiments that were conducted on a system developed to test this method´s feasibility. This method can be applied to both online and offline input. Under this method the matching of characters is based on a dynamic model and performed using a relaxation method. A potential field is created to represent the dictionary character. Into this are dropped feature points taken from the input character and matching takes place. Matching thus occurs with the input character distorting to match the dictionary character. Springs are used to control this distortion. Details of variations to this method are given, and the results of comparative experiments conducted on these variations are presented