基于k-邻近算法的手写识别系统的研究与实现

摘要

针对计算机对手写输入字符的识别需求,本文基于k邻近算法构建了手写识别系统,并采取平滑、归一化等方法进行数据预处理,提取结构与统计特征,达到提高手写字符识别精度与准确率的目的.计算机测试后表明,本算法对手写字待识别的精度可以达到95％以上.%In order to satisfy the requirement of the handwriting recognition,a professional recognition system based on kNNis realized in this paper.The learning samples are smoothed and normalized.Then the structure and statistical features are extracted to improve the accuracy of handwritten character recognition.The results show that the accuracy of the proposed algorithm is more than 95％.