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Comparative Study of Devanagari Handwritten and printed Character Numerals Recognition using Nearest-Neighbor Classifiers

机译:使用最近邻分类器的梵文手写和印刷字符与数字识别的比较研究

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In this paper we are using Devanagari script OCR for recognition. The handwritten data set is created by us and for printed characters we have used ISM font. Here we are using gradient and curvature based feature extraction method. We have compared Nearest Neighbor, K-Nearest Neighbor, Euclidian Distancebased K-NN, Cosine Similarity -based K-NN, Condensed Nearest Neighbor, Reduced Nearest neighbor, Farthest like neighbor and Nearest unlike Neighbor.
机译:在本文中,我们使用Devanagari脚本OCR进行识别。手写数据集由我们创建,对于打印字符,我们使用了ISM字体。在这里,我们使用基于梯度和曲率的特征提取方法。我们比较了最近邻居,K最近邻居,基于欧几里得距离的K-NN,基于余弦相似度的K-NN,精简最近邻居,简化最近邻居,最接近邻居(如邻居)和最接近邻居。

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