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The partition--combination method for recognition of handwritten characters*

机译:用于识别手写字符的分区组合方法*

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摘要

The partition-combination method is a universal strategy for studying all sciences. This paper introduces such a stratey to handwritten character recognition, which is developed form our previous study. Let a pattern be split into sub-patterns, or called parts, bases, roots, etc. The easier part recognition is first carried out, then recognition of the entire pattern can be completed by integrating the results of part recognition. In this paper, the computational formulas' for evaluating the recognition rates of parts and their combinations are derived, and a number of fascinating results have been reported. Many new combinations of parts have been found, leading to better recognition in practical ap- plications. Numerical experiments have also been conducted using 89 patterns of the most frequently used alphanu- meric handprints, leading to the discovery of several interesting aspects related to character recognition. Furthermore, human behavior in handwriting may be discovered based on the computational data obtained from the new algorithms.
机译:分区组合方法是研究所有科学的通用策略。本文将这种策略介绍给手写字符识别,这是我们先前研究的基础。将模式分为子模式,或称为部分,基础,根等。首先进行较容易的部分识别,然后通过集成部分识别的结果来完成整个模式的识别。本文推导了评估零件及其组合识别率的计算公式,并报道了许多令人着迷的结果。已经发现了许多零件的新组合,从而在实际应用中得到了更好的认可。还使用最常用的字母数字手印的89种图案进行了数字实验,从而发现了与字符识别有关的几个有趣方面。此外,可以基于从新算法获得的计算数据来发现手写中的人类行为。

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