内蒙古民族大学学报（自然科学版）2025，Vol.40Issue(3)：55-61,7.DOI:10.14045/j.cnki.15-1220.2025.03.008
基于BP和PNN神经网络对英文字母电子签字识别的研究
Research on the Recognition of English Letter Electronic Signatures Based on BP and PNN Neural Networks
摘要
Abstract
With the rapid development of computer technology,electronic signatures have already become the future development trend.This study focuses on the recognition problem of capital English letter electronic signa-tures.The"outer contour extraction method"is adopted to process the electronic signatures,and the BP neural net-work and the PNN probabilistic neural network are used to verify the recognition results.The results show that the recognition accuracy of the electronic signatures processed by the"outer contour extraction method"can reach more than 90%.However,the recognition accuracy of electronic signature without this method is only about 60%.Under the same conditions,the recognition accuracy of the PNN probabilistic neural network is significantly higher than that of the BP neural network.关键词
BP神经网络/概率神经网络/外边轮廓提取方法/图片缩放Key words
BP neural network/probabilistic neural network/outer contour extraction method/picture zooming分类
计算机与自动化引用本文复制引用
王晓娟..基于BP和PNN神经网络对英文字母电子签字识别的研究[J].内蒙古民族大学学报（自然科学版）,2025,40(3):55-61,7.基金项目
重庆市教育委员会科学技术研究项目(KJQN202202304) （KJQN202202304）
