摘要
系统的工作方式主要是对人民币采集图像,然后进行包括图像灰值化、滤波、倾斜校正及对冠字号目标区域提取的图像预处理,随后利用LabVIEW中Vision Assistant工具里的OCR功能对冠字号中出现的字符进行训练并建立模板数据库,与提取出的冠字号区域进行匹配从而识别出字符并转换成文本。系统用户操作界面简洁,具有较高的识别准确率及速度。
The work way is mainly collect RMB image, then image pre-process includes image gray value, filter, tilt correction and target area extraction image preprocessing, then uses the OCR function in Vision Assistant tool of the LabVIEW to train the characters in crown size and build template database, match with the crown size area extracted so as to identify the character and converted it into text. System user interface is simple and has high recognition accuracy and speed.
作者
杨美程
Yang Meicheng(Zhengzhou University, Zhengzhou 450001. China)
出处
《无线互联科技》
2017年第5期41-43,共3页
Wireless Internet Technology
