A minutiae extraction method based on binary image is proposed.
提出了基于二值图像的细节点提取方法。
Minutiae extraction is essential in fingerprint recognition, and fingerprint match is used to search minutiae.
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。
However, the performance of a minutiae extraction algorithm relies heavily on the quality of the input fingerprint images.
然而，细节提取算法的性能好坏与输入图像质量有着密切的关系。
Minutiae extraction in fingerprint images based on 8 neighborhoods region coding pursue pixel method is studied and realized.
研究并实现基于8邻域编码逐像素跟踪法的细节特征提取算法。
In order to extract fingerprint minutiae effectively and accurately, two methods of fingerprint minutiae extraction were compared.
为了有效、精确地提取出指纹图像的细节特征点，对两种指纹特征提取的方法进行了对比。
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。
As to the pseudo minutiae arised from fingerprint image preprocessing is difficult to eliminate, a fingerprint minutiae extraction method based on information fusion is proposed.
针对进行指纹图像预处理时产生的伪特征点难以消除的问题，提出了一种基于信息融合的指纹特征点提取方法。
The fingerprint recognition system mainly concludes the following steps: collection of fingerprints, pre-processing of fingerprint image, minutiae extraction and fingerprint matching.
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。
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。
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。
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