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Visual C++数字图像识别技术典型案例
著者: 苏彦华等编著 本书详细地介绍了数字图像处理的基本概念和技术，以及数字图像处理和计算视觉领域的几个应用实例，包括指纹识别系统、数字水印技术、条形码技术、印鉴鉴定系统、光学字符识别技术、基于视觉的手势识别系统。-Visual C Digital Image Recognition Technology typical cases Author : Su-edited the book detailed presentation of the
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Visual C++ 指纹模式识别演示系统-Visual C++ demonstration system for fingerprint pattern recognition
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system for recognition of fingerprint
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The use of fingerprints for identification has been
employed in law enforcement for about a century. A much
broader application of fingerprints is for personal
authentication, for instance to access a computer, a network, a
bank-machine, a ca
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The use of fingerprints for identification has been
employed in law enforcement for about a century. A much
broader application of fingerprints is for personal
authentication, for instance to access a computer, a network, a
bank-machine, a ca
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精通Visual C++指纹模式识别系统算法及实现-Proficient in Visual C++ fingerprint pattern recognition system algorithm and implementation
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精通Visual C++指纹模式识别系统算法及实现-Proficient in Visual C++ fingerprint pattern recognition system algorithm and implementation
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精通Visual C++指纹模式识别系统算法及实现-Proficient in Visual C++ fingerprint pattern recognition system algorithm and implementation
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Biokey算法是一种快速、准确的1:1和1:N指纹识别算法，面向软件开发商和系统集成商全面开放，在使用Biokey进行指纹识别时(2000-6000枚指纹)，不需要对指纹通过姓名、PIN等预先分类就可以在1-5秒(以下测试都在Pentium III 900MHz+ 128MB内存环境下进行)内轻松完成。-Biokey algorithm is a fast and accurate 1:1 and 1: n fingerprint recognition algorithm for softw
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人耳识别作为一种新的生物特征识别技术在近两年来受到了越来越多的关注,人耳识别的研究使计算机根据人耳辨别人物身份成为可能。目前国内和国际上对此的研究还很少,还没有形成一套完整的识别体系。同人脸、虹膜和指纹等识别技术相比,人耳识别又具有其自身的独特性和研究价值。其研究内容主要涉及到人耳图像的采集、定位和分割、特征提取、模板匹配以及多模态融合等。-Ear recognition as a new biometric identification technology has received more
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This project reflects pattern recognition techniques that we’ve studied in course. Our main focus throughout the project was feature extraction. System extracts minutiae points selected image and then performs fingerprint matching based on minutiae p
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面部识别又称人脸识别、面像识别、面容识别等等，面部识别使用通用的摄像机作为识别信息获取装置。以非接触的方式获取识别对象的面部图像，计算机系统在获取图像后与数据库图像进行比对后完成识别过程。面部识别是基于生物特征的识别方式 ，与指纹识别等传统的识别方式相比，具有实时、准确、高精度、易于使用、稳定性高、难仿冒、性价比高和非侵扰等特性，较容易被用户接受。-Face recognition is also called face recognition, face recognition, facial
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基于STM32F407实现人脸识别和指纹识别的考勤系统硬件设计。-Hardware Design of Time and Attendance System Based on STM32F407 for Face Recognition and Fingerprint Identification.
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Staff attendance system using fingerprint recognition
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Age range prediction system using fingerprint recognition
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Ignition system using fingerprint recognition in car engine
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本设计为基于MATLAB的指纹识别系统。本设计系统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：图像灰度化、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。(This design is a fingerprint identification system based on MATLAB
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