An Approach to Integrated Pen Interface for Japanese Text Entry (Special Issue on Document Analysis and Recognition)

概要

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An integrated pen interface system was developed to allow effective Japanese text entry. It consists of subsystems for handwriting recognition, contextual post-processing, and enhanced Kana-to-Kanji conversion. The recognition subsystem uses a hybrid algorithm consisting of a pattern matcher and a neural network discriminator. Special care was taken to improve the recognition of non-Kanji and simple Kanji characters frequently used in fast data entry. The post-processor predicts consecutive characters on the basis of bigrams modified by the addition of parts of speech and substitution of macro characters for Kanji characters. A Kana-to-Kanji conversion method designed for ease of use with a pen interface has also been integrated into the system. In an experiment in which 2,900 samples of Kanji and non-Kanji characters were obtained from 20 subjects, it was observed that the original recognition accuracy of 83.7% (the result obtained by using the pattern matching recognizer) was improved to 90.7% by adding the neural network discriminator, and that it was further improved to 94.4% by adding the post-processor. The improved recognition accuracy for non-Kanji characters was particularly marked.
社団法人電子情報通信学会の論文
1994-07-25