自动指纹识别系统主要包括以下几个步骤：指纹图像采集、指纹图像前处理、细节特征提取、指纹图像匹配。
The fingerprint recognition system mainly concludes the following steps: collection of fingerprints, pre-processing of fingerprint image, minutiae extraction and fingerprint matching.
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。
There are two fingerprint matching technologies: matching based on minutia and matching based on the relation among ridges.
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。
In order to overcome the common problem in fingerprint recognition, a fingerprint minutia matching algorithm based on improved similar triangle is proposed.
实验证明，这种方法得到细节点的数目也相对较少，有利于进一步的指纹匹配。
Experimental results show that the amount of the key minutiaes is less, and it is helpful to fingerprint matching phase.
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。
Minutiae extraction has great significance in fingerprint recognition, which is connected with the feasibility of fingerprint matching.
研究了指纹细节点特征匹配的关键问题。
Some key problems on fingerprint minutiae matching are discussed.
指纹图像的特征提取是指纹识别的关键，而指纹匹配通常基于细节点匹配。
Minutiae extraction is essential in fingerprint recognition, and fingerprint match is used to search minutiae.
根据指纹模式的不同，指纹匹配可以分为基于细节点的匹配和基于结构的匹配。
The coordinates and the orientations of the minutia are utilized for identification in matching algorithm based on minutiae.
根据指纹模式的不同，指纹匹配可以分为基于细节点的匹配和基于结构的匹配。
The coordinates and the orientations of the minutia are utilized for identification in matching algorithm based on minutiae.
应用推荐