基于FPS200的自适应指纹采集算法  

Adaptive Adjusting Fingerprint Acquisition Algorithm Based on FPS200 Sensor

作　　者：谭伟基[1] 林耀荣[1] 王勿英[1] 谢佳琳[1] 

机构地区：[1]华南理工大学电子与信息学院,广州510640

出　　处：《科学技术与工程》2008年第14期3783-3786,3797,共5页Science Technology and Engineering

基　　金：广东省自然科学基金博士启动项目(07300583)资助

摘　　要：指纹图像的采集是指纹识别中的关键步骤,采集到的指纹图像质量直接影响指纹识别系统的性能。提出了一种基于FPS200的自适应指纹采集算法,采用快速算法进行干湿度和质量的实时分析,根据结果动态调整传感器参数,改善采集的指纹图像质量。实验结果表明,本方法可以适应较干或者较湿的指纹。The fingerprint acquisition system is critical in the Automatic Fingerprint Identification System （AFIS）. The quality of the acquired fingerprint images has great effect on the performance of AFIS. An adaptive adjusting fingerprint acquisition algorithm is proposed. To improve the quality of the fingerprint image, the quality of acquired image is evaluated. And the parameters ＂of FPS200 sensor are adjusted adaptively according to the eval- uation result. The experimental results show that the algorithm adapts well to the dry or moist fingerprints.

关 键 词：指纹采集 FPS200 质量评估 自适应调整 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]