摘要
主要研究基于仿人机器人的名片识别和邮件互发,通过对图像的信息位置进行区域性划分,实现文本字符切割与画质增强。采用Tesseract-Ocr光学字符识别方法,训练大量文字样本,通过与邮件上的字符匹配提高识别的准确性,最后采用NAO机器人的E-mail盒子来完成邮件互发的功能,对不用格式的名片和不用域名的邮件进行实验。结果表明,方法适应性强,准确性高,实时性强。
This paper mainly studies the business card recognition and E-mail interaction based on humanoid robot. The image information location is divided regionally to realize text character cutting and image enhancement; the Tesseract-Ocr optical character recognition method to train a lot of text samples, which are matched with the characters in E-mail to improve the recognition accuracy.At last, the E-mail box of NAO robot is used to complete the function of the E-mail interaction. The experiment results show that the method has high adaptability, high accuracy and high real-time performance.
出处
《计算机与网络》
2017年第11期60-62,共3页
Computer & Network
基金
2016年度大学生创新创业训练计划国家级基金资助项目(G201612026055/XA201615391)
关键词
仿人机器人
图像处理
名片识别
邮件互发
humanoid robot
image processing
business card recognition
E-mail interaction
