An Efficient Feature Extraction Algorithm for the Recognition of Handwritten Arabic Digits

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

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

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)