本项目名称是：基于FPGA的指纹识别模块设计。 主要内容为：本模块采用xilinx公司的Spartan 3E系列XC3S500E 型FPGA作为核心控制芯片，通过富士通公司的MFS300滑动式电容指纹传感器对指纹图象进行提取，然后对提取的指纹图像进行灰度滤波、图像增强、二值化、二值去噪、细化等预处理，得到清晰的指纹图象，再从清晰的指纹图象中提取指纹特征点，存入外部FLASH作为建档模板。指纹比对时，采用同样的方法获得清晰的指纹图像，建立比对模板，然后将比对模板与建档模板利用点模式匹配

Abstract—This paper proposes a new technique for face detection and lip feature extraction. A real-time field-programmable gate array (FPGA) implementation of the two proposed techniques is also presented. Face detection is based on a naive Bay

Monte Carlo simulation method of calculating the American option price and basic descr iption, For feature extraction, signal de-noising, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle.

Is a good learning materials to learn PCA feature extraction, MinkowskiMethod algorithm, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.