Description: For the detection of sign each frame is analysed.
First the image is Converted into gray scale image and then threshold is performed.
Then by using blob analysis portion of red part is extracted.
Then this extracted part is compared with each template.
If the template is matched with extracted part then a rectangle is drawn at the location of extracted part in that frame.
In this way rectangle is drawn at all the frames and at the end all frames are played using implay video command.
Recognition and display the Name of Traffic Sign
Now when the template is matched with extracted blob this is done by using correlation.
Each template is matched with extracted blob by correlating each template and extracted part.If there’s exactly or 50 match then a check is assigned that its completely matching with the extracted blob sign.
Now template is recognized Now the name of recognized sign is concatenated with the red sign.
Image of Sign is Deigned and will be provided With the Source Code.
-For the detection of sign each frame is analysed.
First the image is Converted into gray scale image and then threshold is performed.
Then by using blob analysis portion of red part is extracted.
Then this extracted part is compared with each template.
If the template is matched with extracted part then a rectangle is drawn at the location of extracted part in that frame.
In this way rectangle is drawn at all the frames and at the end all frames are played using implay video command.
Recognition and display the Name of Traffic Sign
Now when the template is matched with extracted blob this is done by using correlation.
Each template is matched with extracted blob by correlating each template and extracted part.If there’s exactly or 50 match then a check is assigned that its completely matching with the extracted blob sign.
Now template is recognized Now the name of recognized sign is concatenated with the red sign.
Image of Sign is Deigned and will be provided With the Source Code.
Platform: |
Size: 2504704 |
Author:mary |
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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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Search - code project template matching