摘要
本文简要回顾手写文档识别和分析技术在过去十年的技术变化,对比各项主要技术的原理和性能,着重分析基于深度学习的神经网络方法在文档识别分析应用中所带来的显著效果提升。
This paper briefly reviews the technology development of handwritten document recognition and analysis in the past decade, which compares the principle and performance of various major technologies.This paper focuses on the analysis of the significant effect of neural network methods based on deep learningin the application of handwritten document recognition and analysis.
作者
竺博
吴嘉嘉
何春江
胡金水
Zhu Bo;Wu Jiajia;He Chunjiang;Hu Jinshui(IFLYTEK Co. Ltd.,Hefei Anhui,230001)
出处
《电子测试》
2019年第13期5-8,48,共5页
Electronic Test
关键词
手写识别
深度学习
文档识别分析
Handwritten Recognition
Deep Learning
Document recognition and Analysis