基于用户可自画图形的图象特征信息卡研究

Research of Image Feature Information Card Based on Self-drawn Figure by User

提出了一种新型的特征信息卡——用户可自画图形的图象特征信息卡,简记为IIC卡.给出了适用动态采样的IIC卡的几何结构及与其传感器安装结构之间的数学关系;给出IIC卡采样系统的电路模型;提出了因采样需要而扭曲的原始二值化电子图象还原成实画电子图象的多种处理算法,尤其是硬件、软件结合的IIC卡采样算法具有鲜明的特色.基于用户可自画图形的特性,IIC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.

The paper descibes a new type of feature information card-images feature information card based on self-drawn figure by user (IIC). The paper constructs the mathematical models which are fit to the relation between geometric structure of dynamic sampling IIC & installing structure of sensor; According to the method of vertical and horizontal inclining gradually, we take advantage of infrared double-diode to arrange IIC pattern information and make use of software and hardware to collect it alternately and dynamically; The paper constructs electric circuit models of sampling system of IIC; The paper proposes various effective algorithms to restore primitive double-value electronic image twisted for need of sampling to the original electronic image. At the same time, the sampling algorithm of IIC in combination with software and hardware reflect vivid features. IIC has some outstanding advantages, such as convenient application, cheap hardware cost, ingenious bulk, distinct and reliable result integrated software with hardware. Because of the advantage of self-drawn figure by user. IIC would have broad developing and applying prospect in lots of domains, such as door-lock, authority management, pattern recognition and its manipulation, etc.