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- An Efficient Feature Extraction Algorithm for the Recognition of Handwritten Arabic Digits
handwrite-number-recognition
- 手写数字识别是“光学字符识别技术”（简称OCR）的一个分支，它研究的对象是：如何利用电子计算机自动辨认人手写在纸张上的阿拉伯数字。它包含样本图片，可以对图片进行预处理，特征提取，还可以给出网络训练的误差指数曲线图-How to use electronic computer automatically recognized people handwritten on paper Arabic numerals.It contains sample pictures, pictures can
te
- 采用神经网络方法进行手写数字识别，包括特征提取和识别- Using the neural network method for handwritten numeral recognition, including feature extraction and recognition
SVM-handwritten-digits-recognitio
- 介绍了在提取穿越次数特征、粗网格特征以及密度特征提取的基础上应用SVM进行手写体阿拉伯数字识别的方法。-Introduced the extraction across a number of features, coarse grid and density feature extraction on the basis of the application of SVM method for handwritten digits recognition.
8fangx
- 在联机手写中文识别中一种针对8方向特征提取的改进算法(In online handwritten Chinese character recognition, an improved algorithm for feature extraction in 8 directions is proposed)