摘要
提出了一种新型的特征信息卡—用户可自画图形的智能图像特征信息卡,简记为SIC卡。该文给出适用动态采样的SIC卡的几何结构及与传感器安装结构之间的数学关系;给出SIC卡采样系统的电路模型;建立了因采样需要而扭曲的原始二值化电子图像还原成实画电子图像的多种处理算法,尤其是硬件、软件结合的SIC卡采样算法具有鲜明的特色。基于用户可自画图形的特性,SIC卡在门禁、权限管理、模式识别及其控制等许多领域有着广阔的发展和应用前景。
This paper describes a new type of feature information card-smart image feature information card based on self-drawn figure by user(SIC).It constructs the mathematical models which are fit to the relation between geometric structure of dynamic sampling SIC&installing structure of sensor,and constructs electric circuit models of sampling system of SIC,and proposes various effective algorithms to restore primitive double_value electronic image twisted for need of sampling to the original electronic image.In the same time ,the sampling algorithms of SIC in combination with software&hardware reflect vivid features,Because of the advantage of self-drawn figure by user.SIC would have broad developing and applying prospect in lots of domains,such as door_lock,authority management ,pattern recognition and its manipulation,etc.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第4期139-142,共4页
Computer Engineering and Applications
基金
湖南省科技厅项目(编号:(2001)228)
湖南省"十五"重点学科"计算机软件与理论"建设项目