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基于方向滤波分割的指纹自动识别系统算法

黄贤武1, 苏鹏程1, 柏培权1(苏州大学通信与电子工程系,苏州 215021)

摘 要
为适应当前个人身份鉴定迫切需要,提出了一种基于方向滤波分割的指纹自动识别系统的完整方案。该系统主要分指纹预处理及识别两大部分,包括方向图的计算、平滑、方向滤波、二值化、去噪、特征提取、特征编码及识别的方法。利用该系统的预处理及特征编码和识别方法,指纹图象得到了较好的增强,而且,在识别过程中能克服一定范围内指纹旋转及平移因素的影响。本系统具有高效识别和很强的抗干扰能力,对于残缺或模糊的指纹图象也有很好的识别效果,有较高的使用价值。
关键词
Algorithms for an Automatic Fingerprint Identification System Based on Oriented Filtering and Segmentation

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Abstract
In order to meet the instant need of individual identification,the whole project of an automatic fingerprint identification system based on oriented filtering and segmentation is presented. The project is mainly divided into two parts that are fingerprint image preprocessing and fingerprint recognition. It includes calculation and smoothness of directional image,oriented filtering,binarization,noise cleaning,feature extraction,feature coding and matching. By the methods of preprocessing,feature coding and fingerprint matching presented in this paper,the fingerprint image is effectively enhanced,moreover, during the course of fingerprint matching,certain influence of fingerprint rotation and moving can be avoided. The system has a high rate of fingerprint recognition and a strong ability to resist image noises. In addition,it is proved to be high effective in recognizing damaged or blurry fingerprint images. The system is high valuable in practice.
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