基于ARM的QNMV指纹识别系统的研究

目前指纹识别技术正向着嵌入式和小型化的方向发展,搭建了基于ARM的指纹识别系统的硬件平台并对硬件进行了优化,研究了指纹识别的软件开发环境,给出了指纹识别系统的软件实现方框图和详细的指纹识别算法流程图;详细论述了全新的基于QNMV结构向量的指纹匹配算法,给出了算法优化后的一些测试数据,将指纹匹配算法与其他常见的算法进行了数据比对后,发现系统具有较好的性能指标:具有较低的误识率(FAR)和拒识率(FRR)、识别率(MRI)有了较大的提高、有效地缩短了匹配耗费时间(Time-Match);系统具有安全可靠、易于扩展、性价比高等优点。

Research on QNMV Fingerprint Recognition System Based on ARM

At present fingerprint identification technology is toward the direction of embedded and miniaturization.The paper sets up and optimizes the hardware platform of the fingerprint identification system based on ARM,and studies the software development environment for fingerprint recognition.It also shows the block diagram of fingerprint identification system software and a detailed flow chart algorithm of fingerprint recognition.Besides,it discusses the structure of the new vector based on QNMV fingerprint matching algorithm in detail.Some test data is given after the algorithm is optimized and it contrasts the data of the fingerprint matching algorithm with other common algorithms.It has a good performance.It has low FAR and FRR.Besides,the MRI and the matching time-consuming have improved a lot.The system has many advantages,such as safe and reliable,easy to expand,high performance to price ratio.