On-Line Recognition for Degraded Character Patterns Using Inter-Stroke Distance and Structural Information

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  • ストローク間の距離情報と構造情報とを用いた変形の大きい文字のオンライン認識
  • ストローク カン ノ キョリ ジョウホウ ト コウゾウ ジョウホウ ト オ モチイタ ヘンケイ ノ オオキイ モジ ノ オンライン ニンシキ

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Abstract

We propose a new recognition method that combines the distance information shown by the slipping between an input pattern and reference pattern and the structural information shown by the dissimilarity related to the relative stroke position obtained from the input pattern and a standard. The discrimination is performed by using the weighed mean of the two kinds of information. This method is based on the evidence that the two kinds of information have high independence, which is clarified by the newly derived matrix form to describe the distance and the structure commonly. In the recognition experiment for free-style handwritten characters, the proposed method achievers higher performance than the method using just the distance information, and its effectiveness is confirmed. Moreover, the result shows the structure information plays a complementary role of recovering the correct category when the distance information itself cannot rank the correct category in high order because the character degradation is large.

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