Description: 对已有图像进行区域识别，画出决策树，并在测试图像上进行测试。-The image of the existing regional recognition, draw the decision tree, and the test images for testing. Platform: |
Size: 5120 |
Author:chang |
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Description: 在matlab环境中自动识别连通区域的大小,采用了小波去噪的思想，基于matlab GUI界面设计,表示出两帧图像间各个像素点的相对情况，车牌识别定位程序的部分功能，进行波形数据分析,关于神经网络控制。- Automatic identification in the matlab environment the size of the connected area, Using wavelet denoising thought, Based on matlab GUI interface design, Between two images showing the relative circumstances of each pixel, Part of the license plate recognition locator feature, Waveform data analysis, On neural network control. Platform: |
Size: 7168 |
Author:ipmpdh |
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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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Description: 本课题为基于连通域分割和模板匹配的二代居民身份证号码识别系统，带有一个GUI人机交互界面。可以识别数十张身份证图片。
首先从身份证图像上获取0～9和X共十一个号码字符的样本图像作为后续识别的字符库样本，其次将待测身份证图像进行去噪、灰度化、二值化、水平投影切割，垂直投影并切割，将待测身份证号码分割出来，然后进行待测号码图片与字符库样本对比计算、识别判断、最终确定待测身份证号号码。本设计关于身份证号码的识别是基于Matlab软件的基础上进行的。(This project is a second generation ID card number recognition system based on connected domain segmentation and template matching, with a GUI human-computer interface. It can identify dozens of ID card pictures.
Firstly, the sample images of 11 number characters (0-9 and x) are obtained from the ID card image as the character library samples for subsequent recognition. Secondly, the ID card image to be tested is denoised, grayed, binary, horizontal projection cut, vertical projection and cut, the ID card number code to be tested is segmented, and then the number image to be tested is compared with the sample of the character library for calculation and recognition judgment Finally determine the ID card number to be tested. The identification of ID card number in this design is based on MATLAB software.) Platform: |
Size: 566272 |
Author:www.wobishe.com |
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Description: 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. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.) Platform: |
Size: 3789824 |
Author:www.wobishe.com |
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Description: 本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。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。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.) Platform: |
Size: 3682304 |
Author:可乐一生 |
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