It is good for the matching and recognition after the preprocessing on the fingerprint images.
通过对指纹图像进行预处理，为预处理后边的匹配、识别打下良好的基础。
Fingerprint identification module includes the preprocessing of fingerprint, feature extraction, the classing of fingerprint as well as matching, the establishment of fingerprint storehouse.
指纹识别模块包括指纹图像的预处理，特征提取，分类，匹配以及指纹库的建立。
The rotating invariance of fingerprint images is solved by the rotating of feature models in feature matching.
在特征匹配阶段，通过对特征模板的旋转解决指纹图像的旋转不变性问题。
Describes the design and implementation of an on line fingerprint verification system based on minutiae matching.
描述了一个基于特征点匹配的联机指纹验证系统设计思想和实现方法。
Some key problems on fingerprint minutiae matching are discussed.
研究了指纹细节点特征匹配的关键问题。
After analyzing the automatic fingerprint recognition based on structural features, we improved it and put forward a step by step structural matching method. The recognition is grouped two step.
分析了基于结构匹配的指纹自动识别方法，并对其作出了改进，提出了一种分阶段的结构匹配识别方法，把识别分为两步进行。
In order to overcome the common problem in fingerprint recognition, a fingerprint minutia matching algorithm based on improved similar triangle is proposed.
为了克服指纹识别中的常见问题，提出了一种基于改进的相似三角形的指纹细节点匹配算法。
Minutiae extraction has great significance in fingerprint recognition, which is connected with the feasibility of fingerprint matching.
在指纹识别中，指纹细节点提取具有重要的意义，它直接关系到指纹匹配的可行性。
Experimental results show that the fast algorithms reduce the time cost of fingerprint pre-processing and feature matching.
实验结果表明，本文所提出的快速算法能够缩短指纹特征点匹配的时间。
In the following parts it's emphasized to study the relationship and effect of fingerprint preprocessing and matching of the fingerprint image.
随后，论文分析了指纹采集质量对后续指纹预处理和匹配的重要关系与作用。
There are two fingerprint matching technologies: matching based on minutia and matching based on the relation among ridges.
指纹匹配技术分为两种：基于细节点的匹配和基于纹线相关性的匹配。
A new fingerprint minutiae matching algorithm is proposed, which is fast, accurate and suitable for the real time fingerprint identification system.
这里提出了一种新的指纹特征点匹配算法，这种算法识别速度更快，精度较高，适用于实时指纹识别系统。
Fingerprint verification algorithm includes two parts: fingerprint feature extraction and feature matching.
指纹鉴别算法主要由指纹特征提取和特征匹配两部分组成。
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 critical step is the fingerprint enhancement that affects minutia extraction and minutia matching.
其中图像预处理中的指纹图像增强是最关键的步骤，直接影响特征提取和匹配。
Fingerprint identification includes fingerprint image capture, image pretreatment, minutia extraction, minutia matching, etc.
指纹识别一般包括指纹采集、图像预处理、特征提取及特征匹配等步骤。
Many of the existing fingerprint matching method using certain aspects of neighborhood characteristics as character descriptions.
现有的指纹匹配方法很多采用特征点邻域的某方面特征作为特征点的特征描述子。
Fingerprint verification is a complex process, which includes fingerprint image capture, image pretreatment, minutia extraction, minutia matching, etc.
指纹鉴别是一个比较复杂的过程，一般包括指纹采集、图像预处理、特征提取及特征匹配等几个步骤。
The process of fingerprint identification can be divided into three steps: preprocessing of fingerprint images, feature extraction and feature matching.
指纹识别大致可以分为三个阶段：指纹图像预处理，指纹特征提取和指纹特征匹配。
The fingerprint character recognition includes three processes, which are the character extraction, the character triangle coding and the character triangle matching.
特征识别包括指纹特征提取、指纹特征三角形编码和指纹特征三角形比对三个过程。
Objective To set up a new matching method quickly processing a large amount of fingerprint date.
目的提出一种大容量指纹数据的快速比对新方法。
Fingerprint image matching is judging whether these two fingerprint images are captured from the same finger.
指纹图像的特征匹配是判断两幅指纹图像是否来自同一手指。
Automatic fingerprint identification system includes fingerprints collecting, image preprocessing, minutia points extracting and minutia points matching normally.
自动指纹识别一般包括指纹采集、图像预处理、特征提取、特征匹配等。
Automatic and reliable extraction of minutiae from fingerprint images is a critical step in fingerprint matching.
在指纹匹配中，从指纹图像中自动和可靠地提取特征点是一个关键性步骤。
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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