Fuzzy Recognition of Offline Handwritten Numeric Characters

K. Batuwita, G. Bandara
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引用次数: 14

Abstract

Offline handwritten character recognition involves the recognition of handwritten character patterns in digital images. This is a challenging computational problem mainly due to the vast differences associated with the handwritten patterns of different individuals. Fuzzy logic plays a major role in both offline and online handwritten character recognition, since a fuzzy system with an automatically generated rule base possesses the features of flexibility, efficiency and online adaptability. This paper presents an online adaptable fuzzy method for offline handwritten numeric character recognition
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离线手写数字字符的模糊识别
离线手写字符识别涉及数字图像中手写字符模式的识别。这是一个具有挑战性的计算问题,主要是因为不同个体的手写模式存在巨大差异。模糊逻辑在离线和在线手写体字符识别中都起着重要的作用,因为带有自动生成规则库的模糊系统具有灵活、高效和在线适应性的特点。提出了一种离线手写体数字字符识别的在线自适应模糊方法
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