指纹图像模式识别方法的研究

Research on Fingerprint Image Pattern Recognition Method

如今,指纹识别技术成为了生物技术研究的热点问题,也正逐渐朝着更实用和更优越的目标前进,自动指纹识别系统更是以各种方式进入人们的生活。笔者介绍了对采集的指纹图像的处理过程和结果,包含指纹图像预处理、特征点提取、比对与指纹图像的匹配。建立了提取指纹端点、叉点、奇异点的提取模型。通过比较可以得出提取指纹特征点的算法对于不同的指纹图像都具有普遍适用性,比较了不同算法的优缺点并总结评价。

Nowadays,fingerprint recognition technology has become a hot topic in biotechnology research.It is also moving towards a more practical and superior goal.Automatic fingerprint identification system is entering into people's life in various ways.The process and results of fingerprint image processing are introduced,including fingerprint image preprocessing,feature point extraction,matching of fingerprint image and fingerprint image.The extraction model of fingerprint endpoint,fork point and singular point is established.Through comparison,it can be concluded that the algorithm of extracting fingerprint feature points has universal applicability for different fingerprint images,and compares the advantages and disadvantages of different algorithms,and summarizes and appraise them.