基于深度学习的手写体数字图像识别  

Resarch on Handwritten Digital Image Recognition Based on Deep Learning

作　　者：许超 王仕山 XU Chao;WANG Shishan(Heilongjiang Bayi Agricultural University,Daqing,Heilongjiang 163000,China;Daqing Bureau of Communications,Daqing,Heilongjiang 163000,China)

机构地区：[1]黑龙江八一农垦大学,黑龙江大庆163000 [2]大庆市交通运输局,黑龙江大庆163000

出　　处：《移动信息》2023年第7期213-216,共4页MOBILE INFORMATION

摘　　要：如今,越来越多的人使用图像来表示和传递信息,从图像中学习大量信息对人们而言十分便捷,在这个更加强调人机交互效率的信息技术时代,如何快速、准确地识别这些手写数字,成为学术界和科技界关注的问题。对于手写数字的图像识别问题,重点在于如何用数据代表图像,从而表示数据,这里的数据不是像素,而是具有高级表示的图像特征,其提取的结果对识别的准确性非常重要。Nowadays,more and more people use images to represent and transmit information.It is very convenient for people to learn a lot of information from images.In this era of information technology that emphasizes the efficiency of human-machine interaction,how to quickly and accurately identify these handwritten Numbers have become a concern of academia and science and technology.For the image recognition of handwritten digits,the focus is on how to use data to represent images to represent data.The data here is not pixels,but should be image features with high-level representation.The extracted results are very important to the accuracy of recognition.

关 键 词：深度学习 数字图像 识别 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]