• 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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  • 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。

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  • In this paper, the effective and efficient algorithms at each step in the orientation-based fingerprint preprocessing are discussed in details.

    针对以往求取方向图的不足,给出了一种基于灰度统计特性的改进算法;

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  • 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.

    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。

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  • 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。

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  • 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。

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  • Fingerprint image binarization, as one key step of fingerprint image preprocessing, is the precondition of fingerprint image thinning.

    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。

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  • In preprocessing of fingerprint image, four sides are discussed, including outline segmentation, filtering enhancement, segmentation binarization and thinning.

    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。

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  • The preprocessing in an automatic fingerprint identification system usually includes five steps: normalization, directional graph computation, image segmentation, filtering and binarization.

    指纹预处理一般包括规格化、方向图计算、图像分割、滤波、二值化等环节,该文系统地讨论了各环节的有效算法。

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  • 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。

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  • 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。

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  • 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。

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  • Preprocessing plays a key role in the fingerprint identification system, which directly influences the final ac-curacy of fingerprint identification.

    预处理是指纹自动识别系统中非常关键的部分,它直接影响着指纹识别的最终效果。

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  • In the fingerprint entrance control system, the preprocessing of fingerprint images is the foundation of the whole system whose core is binarization and thinning.

    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。

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  • Orientation field estimation is an essential preprocessing step and it is crucial for the efficiency of the fingerprint recognition algorithm.

    指纹方向场的估计是指纹识别预处理算法中的重要环节,对算法识别效率起到关键作用。

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  • Recently, great improvements have been achieved in AFIS techniques including fingerprint acquisition, preprocessing and matching.

    目前,各种指纹识别技术,包括指纹获取、预处理和匹配等都已经取得了很大的进展。

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  • Image thinning is one of important preprocessing procedures for fingerprint images. Most of fingerprint recognition algorithm checks the special points by image thinning.

    图像细化是指纹预处理技术中的一个重要环节,大多数指纹识别算法都是在细化图像上实现特征点的检测。

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  • 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.

    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。

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  • 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.

    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。

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  • After preprocessing fingerprint, there are hundreds of minutiae because of some reasons.

    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。

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  • The components of automatic fingerprint recognition system are investigated in this paper which mainly include preprocessing, fingerprint feature extraction and fingerprint feature matching.

    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。

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  • The preprocessing flow is improved and quality evaluation of fingerprint image is introduced, which improve preprocessing efficiency.

    对预处理流程进行了改进,通过将质量评估引入预处理减少了所需时间,提高了预处理效率。

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  • Automatic fingerprint identification system includes fingerprint image acquisition, image preprocessing, minutia extraction and minutia matching.

    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。

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  • Automatic fingerprint identification system includes fingerprint image acquisition, image preprocessing, minutia extraction and minutia matching.

    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。

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