摘要
针对传统身份识别方法中标识物体容易丢失和伪造的问题,在对比可作为识别特征的多种生物特征的基础上,提出并实现了一种基于指纹特征的识别系统。系统首先利用指纹采集器获取指纹图像,然后对采集到的指纹图像进行包括图像分割、图像增强、图像二值化和图像细化在内的图像预处理操作,接着对处理过后的指纹图像进行指纹的特征提取,最后将提取到的待验证手指指纹特征,与指纹特征库中的候选指纹特征进行匹配,以实现用户身份识别。实验结果表明,基于指纹特征的识别系统具有很高的实时性和较高的准确性,可以满足一般用户的身份识别要求。
Aiming at the identification objects easily lost or forgery in traditional identification methods,based on series of biological iden-tification characteristics,propose and realize a recognition system based on fingerprint characteristic. First,the system obtains the finger-print image using fingerprint collector,then carry out the image pre-processing for the collected fingerprint image,inclusive of image seg-mentation,image enhancement,image binarization and image thinning,and then the system will extract the fingerprint characteristic for the treated fingerprint image,finally the extracted fingerprint features are mapped with the candidate fingerprint features in the fingerprint feature base to realize the user identity identification. Experimental results show the recognition system based on fingerprint feature has good accuracy and high real-time performance,which can meet the requirements of general recognition .
出处
《计算机技术与发展》
2014年第10期225-228,共4页
Computer Technology and Development
基金
安徽省自然基金青年基金项目(11040606Q07)
安徽省科技攻关计划科技强警专项资金资助项目(1301b042020)
安徽大学大学生创新创业训练计划项目(cxcy2012068)
高等学校博士学科点专项科研基金联合资助课题(20133401110009)
安徽大学青年骨干教师培养对象经费资助项目
关键词
生物识别
指纹识别
识别系统
特征提取
biological recognition
fingerprint identification
recognition system
feature extraction