Description: 一个很好的车牌定位与识别系统,能够对车牌进行很好的定位,二值化、归一化处理,运用16段法进行特征提取,对提取出的字符进行细化达到精确识别的目的。-A good license plate location and recognition system, can be well plate positioning, binarization, normalized treatment, using 16 feature extraction method for extracting characters refinement to achieve accurate identification目的. Platform: |
Size: 247808 |
Author:lt |
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Description: 用VC++编写的一个指纹预处理程序,里面有指纹分割,平滑,Gabor增强,二值化,细化,特征提取等过程,预处理的指纹图像效果很好-Using VC++ to prepare a fingerprint pre-processing procedure, there are fingerprint segmentation, smooth, Gabor enhanced binarization, thinning, feature extraction, such as the process of the fingerprint image pre-processing well Platform: |
Size: 154624 |
Author:wy |
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Description: 照着书本程序编译过的图像的一些基本算法,二值化,分割,特征提取等等。-Shining on the image books program compiled some of the basic algorithms, binarization, segmentation, feature extraction and so on. Platform: |
Size: 6412288 |
Author:liuyayu |
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Description: 用MATLAB对指纹进行分割,二值化,特征提取以及匹配。希望对大家有用。-Using MATLAB on the fingerprint segmentation, binarization, feature extraction and matching. Hope to be useful. Platform: |
Size: 531456 |
Author:宋琦 |
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Description: 干扰线去除判断比较挫是导致识别率低的原因,希望高手指点吧~后面的特征提取和训练识别就交给大家了~ (很不幸地告诉大家,上班前12306的验证码干扰又加强了,主要还是干扰线部分)
实现原理很简单:
1.图像灰度化与 二值化
2.去除干扰线(二值化在一定程度上已经消弱部分)-Interference lines to remove judge comparative setback is the reason for the low recognition rate, hope expert guidance to behind the feature extraction and training recognition to the people to (unfortunately tell you, 12306 verification code interference strengthened before work mainly interfere with the line part) principle is very simple: Grayhound values of 2 to remove interference lines (binarization has been weakened to some extent, part) Platform: |
Size: 1024 |
Author:宋黑 |
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Description: 本代码包括图像预处理,去噪二值化,轮廓提取等还有图像特征提取主要是形态特征和7个不变矩。基本上不需要改动,可行性非常好。-This code includes the image preprocessing, denoising binarization, contour extraction image feature extraction to main morphological characteristics and seven invariant moments. Basically do not need to change, the Feasibility very good. Platform: |
Size: 2048 |
Author:王凡 |
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Description: 以GUI实现指纹的识别和匹配百分比,中间有对指纹的二值化,M连接,特征提取等处理-GUI fingerprint recognition and matching percentage, the middle of the fingerprint binarization M connection, feature extraction and processing Platform: |
Size: 360448 |
Author:娜 |
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Description:
图像预处理包括图像平滑、图像分割、二值化、图像形态学处理和轮廓提取。轮廓提取是使用八邻域边界跟踪算法。在手势的特征提取部分,使用边界傅立叶描绘子的手势特征提取算法。针对手势的识别,采用了基于 BP 神经网络的识别方法-Image pre-processing, including image smoothing, image segmentation, binarization, morphological image processing and contour extraction. The contour extraction is eight neighborhood boundary tracking algorithm. Extract part of the characteristics of the gestures and use the boundary Fourier descriptors gestures feature extraction algorithm. Gesture recognition, the recognition method based on BP neural network Platform: |
Size: 3072 |
Author:张燕 |
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Description: 指纹图像增强、求方向图、二值化、细化、特征提取、特征匹配等算法
的c语言源程序,还有实例演示,本人千辛万苦才找来的,
提供给大家分享。
-Fingerprint image enhancement, seeking direction map, binarization, thinning, feature extraction, feature matching algorithm c language source code, as well as examples of presentation, I just got a lot of hard work, to share with you. Platform: |
Size: 43008 |
Author:cool-wlb |
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Description: 简单的用于识别手写数字,先对数字进行特征提取,灰度化,二值化,特征提取-Simple to identify handwritten numbers, the first of the digital feature extraction, grayscale, binarization, feature extraction Platform: |
Size: 6858752 |
Author:zuoan |
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Description: 使用特征提取与模板匹配方法识别数字验证码,预处理阶段包括验证码图像灰度化、二值化、去噪,去噪使用RGB三原色法,验证码字符分割采用自适应分割方法,最后提取单个验证码图像特征值,与模板库字符进行匹配识别(The use of feature extraction and template matching method of digital identification verification code, verification code preprocessing consists of image grayscale, binarization, denoising, denoising method using RGB color segmentation method based on adaptive segmentation, verification code character, finally extract single verification code image feature matching, character recognition and template library) Platform: |
Size: 22528 |
Author:张力123
|
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Description: 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。
该课题为基于MATLAB的指纹识别系统,带有丰富的人机交互GUI界面。目前毕业设计选题中,传统指纹识别不易得到高分,基本都是对指纹进行处理,而没有比对两者指纹是不是同一个人,轻易被导师被否决。因此建议做成两个指纹进行比对,输出结果,以文字和声音方式播报结果。整个设计在一个GUI界面上完成。(This paper mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing fingerprint image, the redundant part of the original image is removed to facilitate the subsequent recognition processing; feature extraction is mainly to extract the endpoint and bifurcation points after thinning fingerprint image; feature matching is to determine two images by comparing the feature points of two fingerprint images Whether it comes from the same finger.) Platform: |
Size: 2781184 |
Author:王春水 |
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