摘要: 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,对于质量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。
关键词:
指纹检索,
质量特征,
宏观曲率,
平均周期
Abstract: 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 are 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.
Key words:
fingerprint index,
quality feature,
macroscopic curvature,
average period
中图分类号:
王文涛;尹义龙;戴鸿君;王文会. 基于多级索引的指纹分类算法[J]. 计算机工程, 2010, 36(5): 188-190.
WANG Wen-tao; YIN Yi-long; DAI Hong-jun; WANG Wen-hui. Fingerprint Classification Algorithm Based on Multi-level Index[J]. Computer Engineering, 2010, 36(5): 188-190.