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A Simple and Effective Technique for Online Handwritten Bangla Character Recognition

机译:在线手写的简单有效技术,孟加拉人物识别

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摘要

In this paper, we have proposed a simple but effective feature extraction technique following the distance-based features to recognize online handwritten isolated Bangla basic characters. In this approach, a character is divided into N number of segments and then distances are calculated among each other. These distance values are then used as features for recognition purpose. On evaluation of this feature set on 10,000 Bangla character samples (50-class character set) by various classifiers, the method yields reasonably good result with 98.20 % success rate.
机译:在本文中,我们提出了一种简单但有效的特征提取技术,遵循基于距离的特征,以识别在线手写的孟加拉基本字符。 在这种方法中,字符被划分为n个段,然后彼此之间计算距离。 然后将这些距离值用作识别目的的特征。 在各种分类器的10,000个Bangla字符样本(50级字符集)上进行评估,该方法产生合理的成功率为98.20%。

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