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。
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。
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。
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。
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。
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。
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。
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。
应用推荐