C# 车牌识别源码(基于HalconDotNet实现)

【实例简介】点开获取图片，选择自带的 素材.png车牌图片，点击识别车牌就识别了

【实例截图】

【核心代码】

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Windows.Forms;


using HalconDotNet;

namespace License_plate_recognition
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }
        HObject ho_Image;
        string Imagetow = "";
        private void button1_Click(object sender, EventArgs e)
        {
            OpenFileDialog openfile = new OpenFileDialog();
            if (openfile.ShowDialog() == DialogResult.OK && openfile.FileName != "")
            {
                Imagetow = openfile.FileName;
            }
            
            HOperatorSet.ReadImage(out ho_Image, Imagetow);
            HTuple hv_Width, hv_Height;//获取长宽
            HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
            HOperatorSet.SetPart(hWindowControl1.HalconWindow, 0, 0, hv_Height - 1, hv_Width - 1);//-1全屏显示

            hWindowControl1.HalconWindow.DispObj(ho_Image);//显示图片
        }

        private void button2_Click(object sender, EventArgs e)
        {
            //车牌识别
            HObject ho_R, ho_G, ho_B, ho_H, ho_S, ho_V, ho_Region, ho_RegionFillUp,ho_Rectangle;
            HObject ho_RegionAffineTrans, ho_ImageAffineTrans, ho_ImageReduced;
            HTuple hv_Row, hv_Column, hv_Phi, hv_Length1, hv_Length2, hv_HomMat2D;

            HOperatorSet.Decompose3(ho_Image, out ho_R, out ho_G, out ho_B);

            HOperatorSet.TransFromRgb(ho_R, ho_G, ho_B, out ho_H, out ho_S, out ho_V, "hsv");

    
            HOperatorSet.Threshold(ho_S, out ho_Region, 128, 255);
            //提取threshold

            HOperatorSet.FillUp(ho_Region, out ho_RegionFillUp);
            //填充fill_up

            HOperatorSet.SmallestRectangle2(ho_RegionFillUp, out hv_Row, out hv_Column,out hv_Phi, out hv_Length1, out hv_Length2);
            //最小外接矩形smallest_rectangle2

            HOperatorSet.GenRectangle2(out ho_Rectangle, hv_Row, hv_Column, hv_Phi, hv_Length1, hv_Length2);
            //生成矩形gen_rectangle2

            HOperatorSet.VectorAngleToRigid(hv_Row, hv_Column, hv_Phi, hv_Row, hv_Column, 0, out hv_HomMat2D);


            HOperatorSet.AffineTransRegion(ho_Rectangle, out ho_RegionAffineTrans, hv_HomMat2D, "nearest_neighbor");


            HOperatorSet.AffineTransImage(ho_R, out ho_ImageAffineTrans, hv_HomMat2D, "constant","false");
             
            //图像裁剪
            HOperatorSet.ReduceDomain(ho_ImageAffineTrans, ho_RegionAffineTrans, out ho_ImageReduced);
            HObject ho_Region1, ho_ConnectedRegions, ho_SelectedRegions, ho_SortedRegions;
            HObject ho_ImageInvert;
            HTuple hv_Number, hv_OCRHandle, hv_Class, hv_Confidence, hv_FileHandle;
            //提取白色区域
            HOperatorSet.Threshold(ho_ImageReduced, out ho_Region1, 100, 255);


            HOperatorSet.Connection(ho_Region1, out ho_ConnectedRegions);


            HOperatorSet.SelectShape(ho_ConnectedRegions, out ho_SelectedRegions, (new HTuple("rect2_len1")).TupleConcat("rect2_len2"), "and", (new HTuple(45)).TupleConcat(20), (new HTuple(55)).TupleConcat(30));

            HOperatorSet.CountObj(ho_SelectedRegions, out hv_Number);


            HOperatorSet.SortRegion(ho_SelectedRegions, out ho_SortedRegions, "first_point","true", "column");

            //读取ocr
            HOperatorSet.ReadOcrClassMlp("Industrial_0-9A-Z_NoRej.omc", out hv_OCRHandle);

            //图像反转
            HOperatorSet.InvertImage(ho_ImageReduced, out ho_ImageInvert);

            //do_ocr_multi_class_mlp (SortedRegions, ImageInvert, OCRHandle, Class, Confidence)
            HOperatorSet.DoOcrMultiClassMlp(ho_SortedRegions, ho_ImageInvert, hv_OCRHandle,out hv_Class, out hv_Confidence);
            //识别do_ocr
            HOperatorSet.OpenFile("1.txt", "output", out hv_FileHandle);
            HOperatorSet.FwriteString(hv_FileHandle, hv_Class);
            HOperatorSet.CloseFile(hv_FileHandle);
            int i;
            string hytest = "";
            for (i = 0; i < hv_Class.TupleLength(); i  )
            {
                hytest=hytest  = hv_Class.TupleSelect(i);            
            }
            textBox1.Text = hytest;
            HOperatorSet.ReadImage(out ho_Image, Imagetow);
            HTuple hv_Width, hv_Height;//获取长宽
            HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
            HOperatorSet.SetPart(hWindowControl1.HalconWindow, 0, 0, hv_Height - 1, hv_Width - 1);//-1全屏显示

            hWindowControl1.HalconWindow.DispObj(ho_SortedRegions);//显示图片

            string hytest1 = "";
            for (i = 0; i < hv_Confidence.TupleLength(); i  )
            {
                hytest1 = hytest1  = hv_Confidence.TupleSelect(i);
            }
            textBox1.Text = hytest1;

            MessageBox.Show("图像处理完成");

        }
    }
}