掌形识别的算法设计及系统实现

Algorithm design and system realization of hand-shape recognition

掌形识别从理论层面讲归属于数据融合理论中的属性(目标识别)级融合范畴,同时也是一个模式识别问题。介绍了数据融合理论对掌形身份识别系统的指导作用,详细叙述了基于贴近度的模糊模式识别算法设计及其在本系统中的应用,最后从系统角度出发讲述系统的总体设计与实现方法。该研究可应用在门禁、考勤及安检等需要身份识别的系统中,尤其适合在小范围人群中使用。

Hand-shape recognition belongs to the category of property-level fusion in data fusion field from theoretical aspect. Simu- ltaneously, it also is a pattern recognition problem. Firstly, the instruction of data-fusion theory to personal identification system is introduced based on hand shape, and then algorithm design of fuzzy pattern recognition based on similarity degree and its application in the system are expatiated, and last the whole design and realization of system from the viewpoint of system are depicted. This research may be used in system needed to recognize identification such as access control, time＆ attendance and security checking, especially to be used in small crowd.