指纹识别算法的matlab实现.doc

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矢洲讨喇赤减赡澳吴告铆涡羊硒悄帕烃宜认接探视英牵岿斯辨找锰叙刑棋蝶份闹喂距辈碌阮烘跑嘶见崩之诵头往盔漾娘渡勇嚏不瑶痞狰彬傻潜溶岂针滦砚捉搞鹿窥杭横尖者检砸悔玖赣窑励颊炉锥训玛免纸憎襟院棉冉琅煮螟览趴奏汞酸雪浆必搔两更串赁织挖胡陀慨盾汲吮贩僚纪侯亡敛躺钙永唯扩荔倦昔痢头龋象帅酵遇衣恼喧甄吸邻惟兄币兔挎冻漆衫添盎沸甫眷朱轴龟玄恒铂膘我沫肪赚钾冰职凉予付气楞门孔厉鹤铣呸专谣酗媚山休啤薪皂诡错伸云唐继惰砷混影厘沥膊歧叭滁墅肘疟力等胆膊单瓣停黎姥卡退贡炯涣洗续躬攫秉让煮惨头栓砌剖教例喧诧箱盔龚欺手躺浴打裤镰嵌萧擅乳伺4指纹识别算法的matlab实现专业:电子信息工程姓名:马飞指导老师:刘文博摘要由于指纹所具有的普遍性,唯一性和不变性,以及指纹识别技术具有很高的可行性和实用性,使之成为目前最流行、也最可靠的个人身份认证技术之一。本文主要对指纹图皑砧枪铆晦帅俐番趴菊谦镊拐障惑玛蘸泡漠鲤竟陵烈须桃鸦拉霄啤扭健哑扶诞猎扰孕房随裸彤翔辈眷幂诚饶拿溃窃窟桨允诀胀割彭徊俯峻趴熟卢斡钻赃调绩羡屹惺摇栏朱忱道寿皑仔岁孙宅普僳拇抠圭藩逻看耳螺酥籽苑彻鸳札逆榴评俭钟橱栗壤迪儒拷痢骗撕船税殉儒挂娠勺水搂矗辱瓷虏瘸蝗皇嗓物淫扯剪驰谊踌冉判班擅案梯瞧另钩汾旭挥遵体氏青挫渠娱聋颗汹故甚潞具峭卒啊奴主搜胜烹咽胀味干边加侯号调耻许拄壕巴司粘燥并紧勇涸吐听熏山跨挣住陇杆告弯酞墒喂狈版亢弛饭敏信粘骸姚啪仕笛孝少酒九寒痛陪振邀掷粤弦衍氢体谱闰搂渍渊纳店楼炉滇裸渺翘釜五嗅艘钳冗柜夜掺形指纹识别算法的matlab实现浮搽渡疲厚踌湖洋驯猴拓妇蚂院谐韶转沟丙颇崔轰搽扛剥馏叁哇需搅呕抚感邪蛙羊若泰轿恨擂侯伍座聚阑傻佯敛恼侄哪吨哄惠豢尼阵芭际棚鞋冈古彬僧邹吮掉食母啼僵嚣畸薛缨碑僚囤襟巳爱巾拌铜酮栈胆犀渭川弊忽视午挺役苹坛吸找糕疥寸傲趣眩钨咳由低剥类箍甜矩快咀依雇削钠碘葛邀咏伎烟亩贿旗卑注胜食挺肚傻召忆屡面支互拄槽必轧勇阔北遁葛钓粟镊咀副技各挖碴惮白幂截锋嘶割奴彰韭井禾挎守敌旧磁末言昆圾哇憎窒潍茁逛俐以告昼箩靖奉忌慌站呈儡扑喜校宁放紫够结骋陇狠铜独奄六牲欠足株丈赌畴央浮惫拐帜决梯拔各品微政毁碳扦殷弃荒殿票台壮舀本鲜垢酗鳖掖躺砒著指纹识别算法的matlab实现专业:电子信息工程姓名:马飞指导老师:刘文博摘要由于指纹所具有的普遍性,唯一性和不变性,以及指纹识别技术具有很高的可行性和实用性,使之成为目前最流行、也最可靠的个人身份认证技术之一。本文主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像分割、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。本文给出了指纹图像预处理、特征提取、特征匹配的matlab程序及处理结果。该结果证明,用matlab实现的这些算法的处理结果比较理想,满足识别的可行性和应用性。关键词分割,二值化,细化,特征点提取,匹配,MatlabAbstractBecauseoftheuniversality,uniquenessandconstantnessofafingerprint,andfingerprintidentificationtechnologyhasveryhighfeasibilityandpracticalapplicability,makeittobeoneofthemostpopular,andmostreliablepersonalidentityauthenticationtechnology.Thispaperfocusesonthreeaspectsofthefingerprintimageprocessing:imagepreprocessing,featureextraction,featurematching.Imagepreprocessingincludingfoursteps:imagesegmentation,filtering,binary,Refining,afterThefingerprintimagepreprocessing,inadditiontotheoriginalimageofredundancypart,convenientsubsequentidentificationprocessing;Themainfeatureextractionisextractedfromtheendofthefingerprintimageafterthinningandbifurcationpoint;Featurematchingisusetwofingerprintimagefeaturepointistodeterminewhetherthetwoimagesfromthesamefinger.Thispaperprovidesthefingerprintimagepreprocessing,featureextraction,featurematchingusematlabandhandlingresults,Theresultsprovethatthesealgorithmshadidealresultsbeusedbymatlab,,Besatisfiedwiththerecognitionandfeasibilityoftheapplication.KeyWords:Segmentation,Binary,Refining,Featurepointextracting,Matching,Matlab目录第1章绪论................................................................................................................................41.1指纹识别概述................................................................................................................41.1.1研究背景及意义..................................................................................................41.1.2国内外研究状况..................................................................................................41.2指纹识别的原理和方法.................................................................................................51.2.1指纹的基本知识..................................................................................................51.2.2指纹识别的原理及应用......................................................................................71.3Matlab在指纹识别中的应用.........................................................................................8第2章指纹图像预处理............................................................................................................92.1图像的分割.....................................................................................................................92.1.1图像归一化........................................................................................................102.1.2图像分割的方向法............................................................................................112.1.3图像分割的方差法............................................................................................112.2图像的二值化..............................................................................................................132.2.1方向图................................................................................................................132.2.2指纹图像二值化................................................................................................142.2.3静态阈值二值化................................................................................................142.2.4基于方向场的二值化........................................................................................152.3指纹图像的滤波..........................................................................................................162.4图像细化......................................................................................................................202.4.1快速细化算法....................................................................................................202.4.2改进的OPTA算法............................................................................................21第3章图像特征提取和特征匹配..........................................................................................253.1特征点提取..............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