车牌识别系统

此项目涉及人工智能方面、图像视觉方面和网络编程方面等领域,为了实现车辆过道闸能够自动识别车牌系统。在编程过程中使用了一系列的数学算法原理,以保证车牌数字的顺利识别。

应用介绍


   <html>
<head>
  <style>
      body {font-family:tahoma; font-size:12; color:#444444}
      p {margin-left:20; margin-top:0; margin-right:20}
      p.left {text-align:left}
      p.justify {text-align:justify}
      p.right {text-align:right}
      p.code {text-align:left;font-family:times}
      a {color:black}
      a:hover {color:red}
  </style>
</head>

<center>
<img src='./logo.png' alt=''>
</center>
<p class='left'><br>
Copyright &copy; 2006-2007 Ondrej Martinsky. All rights reserved
<br>Licensed under the terms of Educational Community License
<br><a href='http://javaanpr.sourceforge.net'>http://javaanpr.sourceforge.net</a><br><br>
<br>
</p>
<p class='justify'>
This Original Work, including software, source code, documents, or
other related items, is being provided by the copyright holder(s)
subject to the terms of the Educational Community License. By
obtaining, using and/or copying this Original Work, you agree that you
have read, understand, and will comply with the following terms and
conditions of the Educational Community License:
</p>
<br>
<p class='justify'>
Permission to use, copy, modify, merge, publish, distribute, and
sublicense this Original Work and its documentation, with or without
modification, for any purpose, and without fee or royalty to the
copyright holder(s) is hereby granted, provided that you include the
following on ALL copies of the Original Work or portions thereof,
including modifications or derivatives, that you make:
</p>
<br>
<p class='justify'>
# The full text of the Educational Community License in a location
viewable to users of the redistributed or derivative work.
</p>
<br>
<p class='justify'>
# Any pre-existing intellectual property disclaimers, notices, or terms
and conditions.
</p>
<br>
<p class='justify'>
# Notice of any changes or modifications to the Original Work,
including the date the changes were made.
</p><br>
<p class='justify'>
# Any modifications of the Original Work must be distributed in such a
manner as to avoid any confusion with the Original Work of the
copyright holders.
</p><br>
<p class='justify'>
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
</p><br>
<p class='justify'>
The name and trademarks of copyright holder(s) may NOT be used in
advertising or publicity pertaining to the Original or Derivative Works
without specific, written prior permission. Title to copyright in the
Original Work and any associated documentation will at all times remain
with the copyright holders. 
</p><br>
<p class='left'>
If you want to alter upon this work, you MUST attribute it in<br> 
a) all source files<br>
b) on every place, where is the copyright of derivated work<br>
exactly by the following label :<br>
</p><br>
<p class='code'>
<code>---- label begin ----<br>
This work is a derivate of the JavaANPR. JavaANPR is a intellectual 
property of Ondrej Martinsky. Please visit http://javaanpr.sourceforge.net 
for more informations about JavaANPR. 
<br>-----  label end  -----</code>
</p>
<br><br>

</body>
</html>

文件列表(部分)

名称 大小 修改日期
ANPR[1].part1.rar1,423.50 KB2009-02-05
ANPR[1].part2.rar1,423.50 KB2009-02-05
ANPR[1].part3.rar34.86 KB2009-02-05
車牌識別Java0.00 KB2009-02-05

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[机器视觉] # 计算两个128D向量间的欧式距离 def return_euclidean_distance(feature_1, feature_2): feature_1 = np.array(feature_1) feature_2 = np.array(feature_2) dist = np.sqrt(np.sum(np.square(feature_1 - feature_2))) return dist
[车牌识别系统] 基于Opencv的车牌识别系统 版本:python3.7.3,opencv4.0.0.21,numpy1.16.2,tkinter和PIL5.4.1. 大概演示 由于样本数据来自网络,因此识别率只是看看而已。但清楚的图片还是可以识别出来的。
[车牌识别系统] 此项目涉及人工智能方面、图像视觉方面和网络编程方面等领域,为了实现车辆过道闸能够自动识别车牌系统。在编程过程中使用了一系列的数学算法原理,以保证车牌数字的顺利识别。

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