手写汉字识别中的机器学习
Machine Learning in Handwritten Chinese Characters
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摘要: 手写汉字识别中的基元识别是关键难点,采用示例学习的方法,从大量样本的归纳中生成识别规则,是提高识别率的一条有效途径,样本子空间的动态扩展增强了示例学习方法的适应性,渐进学习思想保证了该方法在实现上的可行性。Abstract: Primitive recognition is the key difficult point in recognition of handwritten Chinese characters.With learning from examples,the recognition rules can be induced automatically from large amount of examples It’s an efficient way to improve recognition precision.Gradual learning strategy ensures the feasibility in realization
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