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Developmental Research for Hand-Written Caracter-Recognition Systems Based on Cellular Networks

基于蜂窝网络的手写字符识别系统的发展研究

基本信息

批准号：
59880003
负责人：
KIMURA Masayuki
金额：
$ 8.06万
依托单位：
Tohoku University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research
财政年份：
1984
资助国家：
日本
起止时间：
1984 至 1985
项目状态：
已结题

项目摘要

The purpose of the project is to establish the fundamental technique for recognizing hand-written characters by making such a system that may recognize especially hand-written Chinese characters at a practically useful rate of correctness.To attain the purpose, first we developed a set of cellular networks that enable to normalize characters in size, extract strokes of characters, thin each strok in an unit of thichness, and extract grobal features of characters in a sufficiently high speed. Next we investigated how to use the extracted features of Chinese characters in order to classify them into an appropriate number of groups each one of which consists of similar characters in a sense, and worked out an algorithm which made such a classification possible at a high rate of correctness.The algorithm devides the feature represented in the form of a vector into a number of parts or sub-vectors, classifies characters with every sub-vector and finally unifies all the classifications obtained by each sub-vector. This classification is the first stage of the character recognition and is very important in the sense that the speed or efficiency of the character recognition depends largely on the algotithm in this stage. Our algorithm enables the classification in a high speed and a high rate of correctness compared to various pattern-matching algorithms used up to now.Finally we have developed the hand-written character recognition system that consist of the set of cellular networks mentioned above and a set of micro-computers. It has been made clear by various tests of hand-written Chinese character recognition that the system will be very useful tool to establish the fundamental technique for hand-written character recognition.

本计画的目的是建立一个识别手写汉字的基本技术，使这个系统能够以实际有用的正确率识别手写汉字。为了达到这一目的，我们首先开发了一组细胞网络，该网络能够标准化字符的大小，提取字符的笔画，以厚度单位细化每个笔画，并以足够高的速度提取字符的整体特征。接下来，我们研究了如何利用提取出来的汉字特征，将汉字分成适当数量的组，每组都由某种意义上的相似汉字组成，并提出了一种算法，使这种分类在高正确率下成为可能。该算法将以向量形式表示的特征分成若干个部分或子向量，用每个子向量对字符进行分类，最后将每个子向量得到的分类结果进行统一。这个分类是字符识别的第一个阶段，它非常重要，因为字符识别的速度或效率很大程度上取决于这个阶段的算法。与目前使用的各种模式匹配算法相比，我们的算法具有较高的分类速度和正确率。最后，我们开发了一套由上述蜂窝网络和一套微型计算机组成的手写字符识别系统。各种手写体汉字识别测试表明，该系统将是建立手写体汉字识别基本技术的非常有用的工具。