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.
指纹图像预处理的研究包含四个方面：图像分割、图像增强、二值化和细化。
In preprocessing of fingerprint image, four sides are discussed, including outline segmentation, filtering enhancement, segmentation binarization and thinning.
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.
然后根据这一设想，设计相关指纹图像预处理和细化、特征点提取、比对论证等算法。
Base on this assume the fingerprint image's pretreatment and single line characteristic dot pick-up compare and so on arithmetic are designed.
在指纹门禁系统中，指纹图像预处理构成了整个系统的基础，而二值化与细化则是预处理过程的核心。
In the fingerprint entrance control system, the preprocessing of fingerprint images is the foundation of the whole system whose core is binarization and thinning.
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.
文中针对MBF200采集到的指纹图像的特点，讨论了一种用于嵌入式系统的指纹图像预处理算法。
Aiming at the feature of fingerprint image acquired by MBF200, an algorithm of fingerprint image pretreatment used in embedded system is discussed in this paper.
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。
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.
二值化和细化是指纹图像预处理阶段比较重要的环节，本文讨论了多种细化算法的优劣，并通过编码实现了这些算法。
Binary and thinning is more important in fingerprint image pre-processing, this paper discussed the pros and cons of various thinning algorithms and through coding implemented these algorithms.
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.
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。
It is good for the matching and recognition after the preprocessing on the fingerprint images.
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.
指纹图像经预处理后，由于各种原因，会产生数以百计的特征。
After preprocessing fingerprint, there are hundreds of minutiae because of some reasons.
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.
结果表明，所提出的指纹预处理方法对MBF200指纹图像的处理是行之有效的，有助于基于细节特征的指纹提取。
The experimental results show that the fingerprint preprocessing method to MBF200 fingerprint image is effective and helpful in distillation based on the detail characteristic fingerprint.
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.
指纹图像的预处理又可以分为灰度图滤波去噪、二值化、二值化图像去噪、细化和细化后去噪五个部分。
Fingerprint image pre-processing has five parts: filtration in gray-scale image, binarization, filtration in binary image, thinning and filtration in thinning image.
本文建立了一个微机指纹自动识别软件系统，该系统能够动态地对输入指纹图像进行预处理、特征提取和识别工作。
In this paper, we established an automatic fingerprint recognition software system with micro-computer. It can pretreat, do feature extraction and recognize the input fingerprint dynamically.
为实现快速的条形指纹图像拼接，在两步相关方法的基础上，改进预处理和块相关操作，进一步加快条形指纹图像拼接速度。
To implement a fast slice fingerprint image synthesis, an improved method of pre-operation and two-step correlation is adopted to further accelerate the synthesis speed.
其中图像预处理中的图像增强是最为关键的环节，直接影响着后面指纹图像的细化特征提取等处理。
A critical step is the fingerprint enhancement that affects the process of thinning and minutia extraction directly.
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。
A critical step is the fingerprint enhancement that affects minutia extraction and minutia 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.
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.
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.
重点研究图像的预处理增强算法和二值化算法，根据指纹图像的方向性信息求出方向图，并利用方向滤波器对原图像进行滤波去噪。
Enhancement and binarization algorithm are the emphases among them. According to fingerprint feature, orientation map is calculated, and image is denoised by orientation filters.
重点研究图像的预处理增强算法和二值化算法，根据指纹图像的方向性信息求出方向图，并利用方向滤波器对原图像进行滤波去噪。
Enhancement and binarization algorithm are the emphases among them. According to fingerprint feature, orientation map is calculated, and image is denoised by orientation filters.
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