Analysis and evaluation of dictionary learning on a handy type pen-input interface for personal use

摘要

We present the learning characteristics of personal dictionaries used for handy type pen-input interfaces. The personal dictionary grows by acquiring misrecognized input patterns whenever they are generated. Personal character pattern data is collected using a handy type tablet. The correct recognition rate of the data, which consists of 756 characters with 391 different characters, is improved from 79.9% to 96.2% for data used in learning, and from 78.0% to 95.4% for unlearnt data. On the contrary, the decrease of recognition rate by this learning is 0.1 %-0.2%, which is negligible. The results show that the learning yields a handy type pen-input interface that is sufficient for practical use, moreover, this paper clarifies the learning characteristics against changes in writing condition, the number of objective categories, the number of registered patterns in the personal dictionary, and the formation process of the personal dictionary. Analysis and evaluation of the results gives useful instruction on the design of recognition systems.