ADAPTIVE CHARACTER RECOGNIZER FOR A HAND­HELD DEVICE : IMPLEMENTATION AND EVALUATION SETUP

In this work, we describe a character recognition system we have implemented for experimenting with self­supervised adaptation method. The Dynamic Time Warping algorithm is used for matching input characters to prototypes and recognition is carried out according to the k­nearest neighbor rule. The prototype set is adapted by adding new prototypes into the prototype set and reshaping existing ones with a method based on the Learning Vector Quantization. The adaptation process is supervised by the user\\\\\\'s reactions to the recognition results and other indirect information obtained from the user interface of text input. We also discuss the practical problems encountered in the implementation of a computationally heavy recognition method into a device with limited resources.