摘要
为了得到更好的指纹识别准确率,采用基于点模式特征提取和纹理模式特征提取的指纹识别技术,在MATLAB上进行仿真实验对比,选取FVC2002数据库中的指纹,对指纹图像进行预处理,分别提取出基于两种识别技术指纹的细节点特征和纹线特征,将提取的指纹特征信息同数据库中的指纹图像分别进行细节点匹配和纹线匹配,得到点模式特征提取技术的识别准确率为87.7%,纹理模式特征提取技术的识别准确率为98.4%.
To achieve a higher accuracy rate in fingerprint recognition,fingerprint recognition techniques based on point pattern feature extraction and texture pattern feature extraction were adopted.Simulation experiments were conducted on MATLAB for comparison.Fingerprints from the FVC2002 database were selected and preprocessed.The minutiae features and ridge features of fingerprints based on the two recognition techniques were extracted respectively.The extracted fingerprint feature information was then matched with the fingerprint images in the database for minutiae matching and ridge matching.The recognition accuracy rate of the point pattern feature extraction technique was 87.7%,while that of the texture pattern feature extraction technique was 98.4%.
作者
屈治帆
孙秀桂
李星澄
刘光宇
QU Zhifan;SUN Xiugui;LI Xingcheng;LIU Guangyu(Dali University,Dali 671003,China;Shanghai Jiao Tong University,Shanghai 200030,China)
出处
《商丘职业技术学院学报》
2025年第6期63-69,74,共8页
JOURNAL OF SHANGQIU POLYTECHNIC
基金
2020年度国家自然科学基金资助项目“基于自旋交换泵浦技术的高透过率、超窄带原子滤光器的研究”(NO.62065001)
2024年度云南省基础研究计划项目“基于声学理论的洱海底部表层蓝藻附着度监测技术”(202401BA070001-062)
2024年度云南省教育厅科学研究基金项目“基于水下声传播特性的洱海水质监测技术研究”(2024Y851)
2023年度海洋智能装备与系统教育部重点实验室开放基金项目“基于深度CN的海底废弃物识别技术”(MIES-2023-02)。
关键词
点模式
纹理模式
指纹识别
特征提取
point pattern
texture pattern
fingerprint recognition
feature extraction
