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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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Along with investigating similarity metrics between audio
material, the topic of robust matching of pairs of audio content
has gained wide interest recently. In particular, if this matching
process is carried out using a compact representation
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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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0下载：
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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A biometric system provides automatic identification of an individual based on a unique feature or characteristic posse d by the individual. Iris recognition is a part of the biometric identification methodologies which also include facial, fingerpri
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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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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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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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