Fingerprint classification is also researched on.
探讨了指纹分类。
Fingerprint classification problem has always been a difficulty in the AFIS.
如何正确地把指纹分类在自动指纹识别研究中始终是一个难点。
A new approach of fingerprint classification based on the interested region of the orientation field is described.
提出了一种基于指纹方向场半区域指纹特征构造方法，并将此特征用于指纹分类。
A fingerprint classification method based on singular points and central symmetrical axis is presented and realized.
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。
This paper discusses the AFIS from fingerprint classification, fingerprint core automatic seek and fingerprint minutiae matching.
本文在指纹的分类、指纹的中心定位、指纹的特征匹配三个阶段进行了探讨。
A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model (HMM) and support vector machine (SVM).
提出了一种利用隐马尔可夫模型(HMM)和支持向量机(SVM)的两级指纹分类新方法。
A mean period based approach for fingerprint classification is presented. It computes the mean period of every fingerprint and sorts fingerprints according to their mean periods.
提出了一种基于指纹平均周期的分类方法，通过计算指纹的平均周期并按照平均周期将数据库中的指纹进行排序，该方法可有效地提高指纹的搜索速度。
The first chapter is introduction, mainly discussed the fingerprint identification technology and summarized the problem of the fingerprint classification and the fingerprint thinning.
全文共分四章，第一章是绪论部分，主要是指纹识别技术介绍和指纹分类、指纹细化综述。
In this thesis, the author's objective is to design a robust automated fingerprint classification system (AFCS) with a higher accuracy to overcome the shortcoming of the traditional method.
本文旨在研究一种鲁棒性较强的自动指纹分类系统(AFCS)，克服传统自动指纹分类方法的不足，提高自动指纹分类的准确性和鲁棒性。
It is further testified that molecular fingerprint could supply scientific genetic classification for litchi germplasm.
进一步证明利用分子指纹图谱能够对荔枝种质资源进行科学系统的遗传分类。
The direction information in fingerprint images is very useful for fingerprint preprocessing, classification and matching.
指纹图像的方向信息对指纹的预处理、分类及匹配有着重要的作用。
The direction information in fingerprint images is very useful for fingerprint preprocessing, classification and matching.
指纹图像的方向信息对指纹的预处理、分类及匹配有着重要的作用。
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