基于DSP的指纹图像特征点连续提取系统设计

Design of DSP⁃based continuous extraction system of fingerprint image feature points

采用传统光学型、半导体型和超声波型设备进行指纹图像特征点提取时,缺少自动保护机制,导致系统提取结果不精准,为了解决该问题,设计了基于DSP的指纹图像特征点连续提取系统。该设计以TMS320C5000为DSP芯片,形成统一数据映射,可以自动保护和恢复现场。使用MBF200型号指纹传感器,将电压值转换为数字信号形式,产生感应电压。以2.4~3.6 V传感器工作电压为基础,设计电源开关控制电路,选择AAT4610A型号开关保护电源电路。分析指纹图像特性,提取指纹有效区域,并进行二值化处理,完成提取流程设计。由实验结果可知,该系统特征提取精准度可达到99.9%,为居民身份精准识别奠定了基础。

When traditional optical,semiconductor and ultrasonic devices are used to extract fingerprint image feature points,there is a lack of automatic protection mechanism,resulting in inaccurate system extraction results.In order to solve this problem,a DSP based fingerprint image feature point continuous extraction system is proposed.With TMS320C5000 as DSP chip,unified data mapping is formed,which can automatically protect and restore the site.MBF200 fingerprint sensor is used to convert the voltage into a digital signal to generate the induced voltage.Based on the working voltage of 2.4~3.6 V sensor,the power switch control circuit is designed,and the switch protection power circuit of AAT4610A is selected.The features of fingerprint image were analyzed,the effective areas of fingerprint were extracted,and binary processing was carried out to complete the extraction process design.According to the experimental results,the accuracy of feature extraction of the system can reach 99.9%,laying a foundation for accurate identification of residents.