feature extraction; handwritten character recognition; natural language processing; neural nets; support vector machines; 5-layer CNN based common approach; BangIa-basic character database; Devanagari; English; Oriya; SVM; Telugu; convolutional neural network; feature classification; hand-crafted feature set; handwritten character recognition; numeral recognition problem; support vector machine; unsupervised feature vector extractor; Accuracy; Databases; Handwriting recognition; Training;
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机译:基于图形的样本预选的CNN训练:应用于 手写字符识别