1. A method for automatically segmenting and recognizing character strings continuously written by a user in a handwritten character processing system, wherein said handwritten character processing system records character strings continuously written by a user in strokes and associated timing information thereof, said method comprising the steps of: creating a geometry model which describes geometric characteristics of stroke sequences of handwritten character strings and a language model which describes dependency among characters or words; determining potential segmentation schemes in the character strings continuously written by a user based on said associated timing information and said geometry model; recognizing groups of strokes as defined by each of the potential segmentation schemes and computing a probability characterizing the exactness of the recognition result; correcting the probability characterizing the exactness of the recognition result by said language model; and selecting the recognition result having the maximum probability value and the corresponding segmentation scheme as the segmentation and recognition result of the character strings continuously written by a user.