现代电子技术2016，Vol.39Issue(9)：66-69,4.DOI:10.16652/j.issn.1004-373x.2016.09.015
一种新的基于Grassmann流形度量的手写体数字识别方法
A new handwritten digits recognition method based on Grassmann manifold measurement
摘要
Abstract
Since it is hard for the existing recognition method to recognize and handle the handwritten numbers in geomet⁃ric transform,a new handwritten numeral recognition method based on Grassmann manifold measurement is proposed. On the ba⁃sis of the analysis of the nonlinear manifold space structures composed of handwritten numeral characters in different geometric transforms,the Grassmann manifold and its distance measurement are defined. The waited recognition numeral characters are calculated and Grassmann manifold distance composed of character set is trained to realize the classification and recognition of the handwritten numeral characters. The results of experiment with MNIST database show that the proposed algorithm has better real⁃time performance and robustness,and is superior to the available handwritten numeral recognition algorithm based on tan⁃gent distance in the aspects of numeral recognition rate,stability and computing efficiency,and the recognition rate and stabili⁃ty of the proposed algorithm are better than those of the algorithm based on Euclidean distance.关键词
手写字符识别/Grassmann流形/几何变换/最近邻分类Key words
handwritten character recognition/Grassmann manifold/geometric transform/nearest neighbor classification分类
信息技术与安全科学引用本文复制引用
王卫华,王长杰,张伟..一种新的基于Grassmann流形度量的手写体数字识别方法[J].现代电子技术,2016,39(9):66-69,4.基金项目
河南省高等学校青年骨干教师资助计划（2012GGJS-297）；河南省科技攻关项目 （）
