This paper introduces a fingerprint image enhancement algorithm based on fingerprint line orientation.
该文介绍了一种基于指纹线方向的指纹图像增强算法。
In this paper, we studied the algorithms of fingerprint image enhancement and put forward a new method to calculate the direction image.
文章研究了目前的指纹图像增强算法，提出了一种新的指纹方向场的动态计算方法。
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。
Enhancement of a fingerprint image.
指纹图像的增强。
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。
Periods and local direction of fingerprint image are the important structure characters. The two characters of structure are important in the fingerprint enhancement.
指纹图像的周期性和局部方向性是指纹图像的重要结构特征，充分利用这两个结构特征是提高指纹增强算法的重要方法。
To reduce the noise influence on fingerprint identification pretreatment, the process of fingerprint image is need, such as fingerprints image enhancement.
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。
Fingerprint enhancement aims to improve fingerprint image quality, and enhance the performance of fingerprint recognition system.
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。
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。
Fingerprint Preprocess includes Fingerprint Foreground Extraction, Image Enhancement and Thinning.
预处理部分涉及到指纹有效区域的提取、指纹图的增强和指纹细化。
Fingerprint Preprocess includes Fingerprint Foreground Extraction, Image Enhancement and Thinning.
预处理部分涉及到指纹有效区域的提取、指纹图的增强和指纹细化。
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