指纹图像二值化是指纹细化处理的前提，是指纹识别预处理的一个重要部分。
Fingerprint image binarization, as one key step of fingerprint image preprocessing, is the precondition of fingerprint image thinning.
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。
Fingerprint identification module includes the preprocessing of fingerprint, feature extraction, the classing of fingerprint as well as matching, the establishment of fingerprint storehouse.
指纹图像细化是自动指纹识别的关键技术之一，图像细化效果对自动指纹识别系统的性能有着重要的影响。
Fingerprint thinning is a key part in the automatic fingerprint identification technology. The fingerprint thinning result has an important influence of the AFIS.
指纹图像的取像技术是指纹识别中的关键技术之一。
The capture of fingerprint images is one of the key techniques of fingerprint recognition.
指纹采集仪采集的指纹图像质量对预处理及指纹识别的效率有很大的影响。
The efficiency that the dactylogram picture quality that dactylogram collects appearance identifies to pretreatment and dactylogram has very big effect.
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.
通过自动调节指纹放电参数的方法，保证了指纹图像采集的质量，使系统的指纹识别率得到了进一步的保证。
The quality of fingerprint drawing is ensured by automatically adjusting the fingerprint discharge parameters, and the rate of fingerprint recognition is also guaranteed in the system.
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 process of fingerprint identification can be divided into three steps: preprocessing of fingerprint images, feature extraction and feature matching.
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.
指纹识别主要分为指纹图像预处理，特征提取，指纹匹配三个步骤。
Fingerprint identification can be divided into three processes: fingerprint image pre-processing, feature extraction and fingerprint match.
针对指纹识别中的指纹采集和预处理这两个关键问题，设计并实现了US B电容式指纹采集仪，保证了指纹图像采集的高质量。
Based on capacitive fingerprint sensor and USB bus interface, the capturing apparatus of fingerprint is designed and high quality of images is assured.
但是在指纹识别领域，仍然存在一些值得深入研究的问题，例如指纹图像的采集技术，低质量指纹图像的预处理等。
However, there are still some challenging tasks further lucubrated in fingerprint recognition field, e. g. image acquisition, preprocessing of low quality images, and so on.
为减小噪声的影响，须在指纹识别预处理过程中对指纹进行优化，如进行指纹图像增强。
To reduce the noise influence on fingerprint identification pretreatment, the process of fingerprint image is need, such as fingerprints image enhancement.
指纹图像增强在指纹图像预处理过程中有着非常重要的作用，直接影响指纹识别的识别率和识别速度。
Fingerprint image enhancement has very important using in the preprocessing of the fingerprint image, it is directly restricting the recognition rate and speed of fingerprint recognition.
自动指纹识别系统一般包括指纹图像采集，预处理，特征提取和比对。
Automatic fingerprint identification system includes fingerprint image acquisition, image preprocessing, minutia extraction and minutia matching.
指纹增强的目的在于改善指纹图像的质量，以提高指纹识别系统的性能。
Fingerprint enhancement aims to improve fingerprint image quality, and enhance the performance of fingerprint recognition system.
本文针对自动指纹识别系统的各个组成环节进行了研究，主要包括指纹图像预处理、指纹特征提取、指纹特征匹配三个部分。
The components of automatic fingerprint recognition system are investigated in this paper which mainly include preprocessing, fingerprint feature extraction and fingerprint feature matching.
论文的第五章介绍了指纹图像采集设备及指纹识别开发包，描述了指纹识别功能模块的具体实现。
In chapter two of this dissertation, the fingerprint recognition technique is introduced, the development of fingerprint recognition, current situation, and the future is described;
论文的第五章介绍了指纹图像采集设备及指纹识别开发包，描述了指纹识别功能模块的具体实现。
In chapter two of this dissertation, the fingerprint recognition technique is introduced, the development of fingerprint recognition, current situation, and the future is described;
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