摘要
指纹传感器规格繁多,原理和设计各不相同,产品之间并不能兼容和协作,这导致了不同类型传感器的系统匹配性能大大降低。提出一种融合两类常用的指纹传感器(光学和电容传感器)的方法来提高系统的匹配性能。两类传感器分别采集两幅图像后通过预处理程序提取细节点后分别与模板指纹相匹配,得到2个匹配分数,然后,将这2个匹配分数通过融合规则得到最后的匹配分数,通过与单一传感器性能比较表明:融合后的结果对系统的性能有了很大的提高。
The specifications of fingerprint sensor are diverse, the principle and design are different, and one product is incompatible with other products, which led to system matching performance of different types of sensors reduced greatly. An approach combined two common types of fingerprint sensors（ optical and capacitive sensors） is presented to improve system matching performance. Two images are captured from two types of sensors respectively. After the pre-processing program extracted detail point match the template fingerprint, and the two matching scores are obtained, and then final score is obtained from fusion of two matching scores. Compared with single sensor matching performance,fusion result has greatly improved the performance of the system.
出处
《传感器与微系统》
CSCD
北大核心
2010年第1期65-68,共4页
Transducer and Microsystem Technologies
基金
安徽省高校青年基金资助项目(2007JQL145)
安徽省自然科学基金资助项目(KJ2009B136)
