| 1. | A fingerprint verification algorithm based on fingerprint classification
一种基于指纹分类的指纹识别算法 |
| 2. | Classification approach of half - region fingerprint based on orientation field
基于方向场的半区域指纹分类方法 |
| 3. | We propose synergetic classification based on the study of synergetic pattern recognition
其中，协同指纹分类算法是我们讨论的重点。 |
| 4. | Fingerprint classification provides indexing mechanism for a large fingerprint database
指纹分类技术为大型指纹数据库提供了一种重要的索引机制。 |
| 5. | ( 5 ) a fingerprint classification method based on singular points and central symmetrical axis is presented and realized
( 5 )给出并实现了基于奇异点和指纹中心对称轴的指纹分类方法。 |
| 6. | In this thesis , two key technologies of fingerprint recognition system are discussed : fingerprint classification and fingerprint matching
本文的主要研究内容正是指纹识别系统中的两个关键技术：指纹分类和指纹匹配。 |
| 7. | We first realize the classical fingerprint classification algorithm based on directional field and analyze the experiment data
我们首先研究和实现了目前较为常用的基于方向场计算的指纹分类算法，并结合实际指纹给出了实验及其分析。 |
| 8. | An automatic fingerprint classification algorithm classifies a fingerprint into a number of pre - specified categories according to the features extracted from the fingerprint
指纹分类算法将输入指纹归入到预先规定好的若干大类中。 |
| 9. | And then we propose two novel classification algorithms : k - cluster algorithm and synergetic fingerprint classification algorithm . here the second one is our main point
随后，提出了两种新的分类算法： k ?均值聚类算法和协同指纹分类算法。 |
| 10. | Experimental results show that our algorithm is capable of correctly and robustly extracting singular point , rapidly and efficiently performing fingerprint classification
实验结果表明，我们的算法提取指纹奇异点准确可靠，并能迅速有效地执行指纹分类。 |
