毕业设计（论文）-基于ARM的指纹识别系统设计精选.doc

基于ARM的指纹识别系统设计摘要 世界正朝着互联化的方向发展,而物联网正是这个数字革命的核心之一。在目前流行的物联网技术中,要求嵌入式终端能够提供成熟且价格便宜的生物特征识别技术,目前来说指纹识别的技术应用最为广泛,我们不仅在门禁、考勤系统中可以看到指纹识别技术的身影,市场上有了更多指纹识别的应用：手机、、银行支付都可应用指纹识别的技术。 在指纹识别控制领域,也会用到各种微控制器,本文采用了三星半导体S3C6410作为控制核心,S3C6410应用了专为要求高性能、低成本、低功耗的嵌入式消费类电子设计的AR内核。按性能分成两个不同的系列：该系列内核时钟频率已经达到MHz。 。一种自动指纹识别系统基于点的。本文方法基于从细化提取的特征点，二值化一个指纹图像分割。该系统采用在指纹分类的指纹索引匹配，大大提高了匹配算法。关键字：ARM，指纹识别 Abstract The world is moving in the direction of the development of the Internet, the Internet of is one of the core of the digital revolution. In the current network technology, the embedded terminal capable of providing biometric technology is mature and the price is cheap, at present technology of fingerprint recognition is the most widely, we can not only see the fingerprint recognition technology in access control, attendance system, fingerprint recognition application is more on the market: such as mobile phone, fingerprint lock, bank payment verification can be applied to fingerprint recognition technology. In the fingerprint recognition and control field, we will also use a variety of micro controller, this paper uses Samsung S3C6410 as the control core, S3C6410 application designed for high performance, low cost, low power embedded consumer electronic design based on ARM9 kernel. According to performance is divided into two different series: this series of core clock frequency has reached 72MHz. Fingerprint identification two feature points based on: (I) to identify the fingerprint feature structure fingerprint (II) feature local. This paper proposes a can be used in automatic fingerprint recognition system of fingerprint recognition algorithm based on feature points. The methods mentioned in this article is based on the feature points extracted from refined, two value segmentation image of a fingerprint image. The system adopts fingerprint indexing in the fingerprint classification matching, greatly improves the performance of matching algorithm. Keywords: ARM9,Fingerprint Identifier，F