基于k-邻近算法的手写识别系统的研究与实现  

Research and implementation of handwriting recognition system based on kNN

作　　者：辛英[1] XIN Ying(College of Mathematic and Information Science, Shandong Technology and Business University, Yantai 264005, Chin)

机构地区：[1]山东工商学院数学与信息科学学院,山东烟台264005

出　　处：《电子设计工程》2018年第7期27-30,共4页Electronic Design Engineering

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,本算法对手写字符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%.

关 键 词：模式识别 手写识别 k-邻近 识别精度 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]