In the process of Automatic Fingerprint Identification, there fingerprint image noise impact, we need to fingerprint information denoising. with the need for a large number of fingerprint matching and processing. 在指纹自动识别过程中,存在指纹图像噪声的影响,需要对指纹信息进行去噪、增强处理并且需要进行大量的指纹匹配处理。
For each step in the process of the Fingerprint Identification System algorithms done a number of simplification and innovation, to make them more suitable for ARM-based embedded system running. 通过针对指纹识别系统算法流程中的每一步骤,对现有的一些算法进行了简化和创新,提出自己的改进算法,最后得出一整套适合于在基于ARM的嵌入式系统上运行指纹识别算法。
In the traditional production process and logistics process, the identification and the registration for this number mainly rely on manual work. 在传统的生产,物流的过程中,电缆编号的识别,登记主要依靠人工,这无疑造成了在工作过程中工作强度大,人力成本高等困难。