An Approach to Integrated Pen Interface for Japanese Text Entry

Kazuharu TOYOKAWA  Kozo KITAMURA  Shin KATOH  Hiroshi KANEKO  Nobuyasu ITOH  Masayuki FUJITA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E77-D   No.7   pp.817-824
Publication Date: 1994/07/25
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Document Analysis and Recognition)
Category: 
Keyword: 
on-line character recognition,  Japanese,  pattern matching,  neural network,  verifier,  post-processing,  context,  Kana-to-Kanji conversion,  

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Summary: 
An integrated pen interface system was developed to allow effective Japanese text entry. It consists of sub-systems for handwriting recognition, contextual post-processing, and enhanced Kana-to-Kanji conversion. The recognition sub-system 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.