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一种对细节点指纹特征提取和匹配的方法研究 |
A Method of Minutiae Fingerprint Feature Extraction and Matching |
投稿时间:2020-11-06 修订日期:2020-11-06 |
DOI: |
中文关键词: 指纹 低质量图像 脊线跟踪 细节点特征 匹配 |
英文关键词: Fingerprint Low quality image Ridge tracking Minutiae feature Matching Accuracy |
基金项目:闽南理工学院理工学院科研课题重点项目(20KJX013);福建省中青年教师教育科研项目(JAT190887) |
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中文摘要: |
针对传统指纹细节点提取和匹配方法在处理低质量图像上的不足,提出了一种利用脊线跟踪去除伪细节特征点,并对该细节点特征进行位置和方向信息分析,建立配对关系,计算相似度,进而得出匹配结果的改进方法,克服了传统自动指纹识别中直接对细化后提取特征点不够精确的缺点。实验结果表明,该方法可有效获取了具有辨识度的指纹特征信息,避免了大量的伪特征信息,增加了指纹细节点匹配的正确率和效率,具有相当高的识别率和较强的鲁棒性,可为指纹识别精确性提供有效的依据。 |
英文摘要: |
Aiming at the shortcomings of traditional fingerprint minutiae extraction and matching methods in processing low-quality images, a method of using ridge tracking to remove false minutiae features is proposed, and the location and direction information of the minutiae features are analyzed to establish a pairing relationship , Calculate the similarity, and then obtain an improved method of matching results, which overcomes the shortcomings of insufficient accuracy in extracting feature points directly from the thinned fingerprint image in traditional automatic fingerprint recognition. Experimental results show that the method can effectively obtain fingerprint feature information with recognition degree, avoid a large amount of false feature information, increase the accuracy and efficiency of fingerprint minutiae matching, and has a fairly high recognition rate and strong robustness Sex.which can provide effective basis for fingerprint identification accuracy. |
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