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An improvement of on-line Japanese character recognition system for visually disabled persons

机译:视觉残疾人在线日语字符识别系统的改进

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We developed an online Japanese character entry system with handwriting input device for visually disabled persons (particularly, acquired blind persons). This system is composed of an electric tablet for writing a character, a hand controller for controlling the system condition, a recognition algorithm of handwritten characters, and a voice synthesizer which indicates a recognized character. We investigated the characteristics of Japanese character distortion written by visually disabled persons. As the result, we found that a relative position of stroke representative points (a stroke means a continuous line segment from pen-down to pen-up) in the partial pattern is stable, even if the written characters were extremely distorted. Therefore we already proposed a character recognition method based on the relative direction between two strokes (the RDS method) for characters written by visually disabled person. However, as the number of feature parameters of the RDS method are decreasing for the characters having less than 5 strokes, recognition errors are increasing. This paper describes the fusion (improvement) method by which a method based on the line segment directions in a stroke is added to the RDS method. From the experimental results, total recognition rate of a 92.5% (cumulative rates for the three best candidate of a 99.1%) are obtained from 1192 Japanese characters test for 11 persons.
机译:我们开发了带有手写输入设备的在线日语字符输入系统,该系统用于视力障碍者(尤其是后天盲人)。该系统由用于书写字符的电子写字板,用于控制系统条件的手动控制器,手写字符的识别算法以及指示识别出的字符的语音合成器组成。我们调查了视力障碍者书写的日语字符失真的特征。结果,我们发现,即使书写字符严重失真,部分图案中笔画代表点的相对位置(笔画表示从下笔到上笔的连续线段)也是稳定的。因此,我们已经提出了基于两个笔画之间的相对方向的字符识别方法(RDS方法),用于视力障碍者书写的字符。但是,由于对于少于5个笔划的字符,RDS方法的特征参数数量在减少,因此识别错误也在增加。本文介绍了融合(改进)方法,该方法是将基于笔划中线段方向的方法添加到RDS方法中。根据实验结果,从11个人的1192个日语字符测试中获得了92.5%的总识别率(三个最佳候选者的累积识别率为99.1%)。

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