CAJ | 학술논문

为提高大规模网络化指纹识别系统的检索速度和准确率,提出一种基于多级索引的指纹分类算法,将质量特征分为质量高和质量差2类,对于质晕高的指纹利用指纹图像的3个特征--指纹类别、宏观曲率和平均周期建立三级索引,以逐级缩小检索空间.实验结果表明,该算法准确率高、检索速度快,具有良好的实时性.
위제고대규모망락화지문식별계통적검색속도화준학솔,제출일충기우다급색인적지문분류산법,장질량특정분위질량고화질량차2류,대우질훈고적지문이용지문도상적3개특정--지문유별、굉관곡솔화평균주기건립삼급색인,이축급축소검색공간.실험결과표명,해산법준학솔고、검색속도쾌,구유량호적실시성.
In order to improve the index speed and the accuracy of the network-based fingerprint recognition system for the large population,a fingerprint classification algorithm based on multi-level index is proposed.Quality feature is used to classify fingerprints into two types:low quality and high quality.For the low quality fingerprints,three features,including ridge shape,macroscopic curve and average period ale used to establish three-step index,which decreases the index space gradually.Experimental results show this algorithm has more accuracy,and improves the index speed effectively.It has better real-time performance.