字符识别 - 基于Opencv的汽车车牌识别

            ROI_rect1.x=0.5*(letter[5]+letter[4])-10;  
            ROI_rect1.y=0;  
            ROI_rect1.width=20;  
            ROI_rect1.height=40;  
            cvSetImageROI(pImgResize,ROI_rect1);  
            cvCopy(pImgResize,pImgCharThree,NULL); //获取第3个字符  
            cvResetImageROI(pImgResize);  
              
            ROI_rect1.x=0.5*(letter[7]+letter[6])-10;  
            ROI_rect1.y=0;  
            ROI_rect1.width=20;  
            ROI_rect1.height=40;  
            cvSetImageROI(pImgResize,ROI_rect1);  
            cvCopy(pImgResize,pImgCharFour,NULL); //获取第4个字符  
            cvResetImageROI(pImgResize);  
              
            ROI_rect1.x=0.5*(letter[9]+letter[8])-10;  
            ROI_rect1.y=0;  
            ROI_rect1.width=20;  
            ROI_rect1.height=40;  
            cvSetImageROI(pImgResize,ROI_rect1);  
            cvCopy(pImgResize,pImgCharFive,NULL); //获取第5个字符  
            cvResetImageROI(pImgResize);  
              
            ROI_rect1.x=0.5*(letter[11]+letter[10])-10;  
            ROI_rect1.y=0;  
            ROI_rect1.width=20;  
            ROI_rect1.height=40;  
            cvSetImageROI(pImgResize,ROI_rect1);  
            cvCopy(pImgResize,pImgCharSix,NULL); //获取第6个字符  
            cvResetImageROI(pImgResize);  
              
            ROI_rect1.x=0.5*(letter[13]+letter[12])-10;  
            ROI_rect1.y=0;  
            ROI_rect1.width=20;  
            ROI_rect1.height=40;  
            cvSetImageROI(pImgResize,ROI_rect1);  
            cvCopy(pImgResize,pImgCharSeven,NULL); //获取第7个字符  
            cvResetImageROI(pImgResize);  
  
  
  
            // 释放内存  
            delete []num_h;    
            num_h=NULL;  
  
}  
 
字符识别
[cpp] view plain copy
int CMyDialog::CodeRecognize(IplImage *imgTest, int num, int char_num)  
{  
    if (imgTest==NULL)  
    {   
        return 0;  
    }  
      
    int i=0,j=0,k=0,t=0;  
    int  char_start=0,char_end=0;  
    int num_t[CHARACTER ]={0};  
      
      
     switch(num)//这里这样分 可以提高效率，并且提高了识别率  
     {  
        case 0:  char_start =0;         // 数字  
                         char_end  = 9;  
                          break;  
        case 1:  char_start =10;        // 英文  
                         char_end  = 35;  
                          break;  
        case 2:  char_start =0;       // 英文和数字  
                         char_end  = 35;  
                          break;    
        case 3:  char_start =36;       // 中文  
                         char_end  = TEMPLETENUM-1;  
                          break;  
            default: break;                   
     }  
  
    // 提取前8个特征  
    for(k=0; k<8; k++)  
    {   
        for(j=int(k/2)*10; j         {  
            for(i=(k%2)*10;i<(k%2+1)*10;i++)  
            {         
               num_t[k]+=CV_IMAGE_ELEM(imgTest,uchar,j,i)/255 ;  
            }         
        }  
  
        // 第9个特征 前8个特征的和作为第9个特征值  
        num_t[8]+= num_t[k];    
    }  
    
    for(i=0;i<20;i++)     
        num_t[9]+=CV_IMAGE_ELEM(imgTest,uchar,10,i)/255 ;  
    for(i=0;i<20;i++)  
        num_t[10]+=CV_IMAGE_ELEM(imgTest,uchar,20,i)/255 ;  
    for(i=0;i<20;i++)  
        num_t[11]+=CV_IMAGE_ELEM(imgTest,uchar,30,i)/255 ;  
    
    for(j=0;j<40;j++)  
        num_t[12]+=CV_IMAGE_ELEM(imgTest,uchar,j,7)/255;  
    for(j=0;j<40;j++)  
        num_t[13]+=CV_IMAGE_ELEM(imgTest,uchar,j,10)/255 ;  
    for(j=0;j<40;j++)  
        num_t[14]+=CV_IMAGE_ELEM(imgTest,uchar,j,13)/255 ;  
  
    int num_tt[CHARACTER]={0};  
    int matchnum=0;  //可以说是 匹配度或 相似度  
    int matchnum_max=0;    
    int matchcode = 0;         // 匹配号  
  
    j=0;  
  
    for(k=char_start;k<=char_end;k++)  
    {  
        matchnum=0;  
    
        for(i=0;i<8;i++) //区域的匹配  
        {  
            if (abs(num_t[i]-Num_Templete[k][i])<=2)//与模板里的相应值进行匹配  
                matchnum++;  
        }  
          
       if(Num_Templete[k][i]-abs(num_t[i])<=8)//对第9个特征进行匹配   
             matchnum+=2;     
       for(i=9;i         {  
           if (Num_Templete[k][i]>=5)  //特征值 大于5   
           {  
                if(abs(num_t[i]-Num_Templete[k][i])<=1)  
                matchnum+=2;  
           }  
           else if( num_t[i]==Num_Templete[k][i])  
           {   
                matchnum+=2;  
           }  
        }  
        if(matchnum>matchnum_max)  
        {  
              matchnum_max=matchnum;  //保留最大的 匹配   
              matchcode= k;  //记录 识别的字符的 索引   
        }     
    }  
    //识别输出  存放输出结果  
    G_PlateChar[char_num]=PlateCode[matchcode]; //保存下该字符  
}