Image Recognition Technique for Dot-matrix Character on Piston Surface based on Hopfield Neural network Method

摘要：

In this paper, an image recognition technique for dot-matrix character on piston surface based on Hopfield neural network method is proposed. The overall structure presentation of the measuring device, the difficulties of recognition technique about the sparse dot-matrix character and the spray-ink character, the actualization of the training and the classification with Hopfield neural network method, the operation control process of automatic detection etc., are all discussed. Meanwhile, the experiment results in production line are presented as well.

作者: Xu Xu-ping Wang Xin-xiang

作者单位: University of Shanghai for Science and Technology, Shanghai 200093, China Shanghai General Motors Corporation Limited, Shanghai 201206, China

会议类型: 国际会议

会议名称: 第十届中国虚拟现实年会

会议地点: 上海

会议语种:英文

页码: 320-323

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）