public CaptchaBreaker(Image image1, string text3, string text1, string text2)
{
int num;
this._objNNList = new NeuralNetworkList();
this._strResult = "";
ImageEnhancer enhancer = new ImageEnhancer(image1);
ImageArrayList imageListByGreyColor = new ImageArrayList();
int num4 = 0;
int num3 = 0;
int num2 = 0;
text1 = text1.Replace("Step: ", "");
text2 = text2.Replace("Step: ", "");
int num5 = 0;
num4 = (int) Math.Round(Conversion.Val(CommonFunction.substring(text2, 0, "TGC: ", "\r\n", ref num5).Trim()));
num5 = 0;
num3 = (int) Math.Round(Conversion.Val(CommonFunction.substring(text2, 0, "SW: ", "\r\n", ref num5).Trim()));
num5 = 0;
num2 = (int) Math.Round(Conversion.Val(CommonFunction.substring(text2, 0, "SH: ", "\r\n", ref num5).Trim()));
this._objNNList.LoadNetworkListFromFile(text3);
enhancer.ProcessFromStringOrderList(text1);
imageListByGreyColor = enhancer.GetImageListByGreyColor(num4);
imageListByGreyColor.ProcessFromStringOrderList(text2);
int num6 = imageListByGreyColor.get_ImageArrayList().Count - 1;
for (num = 0; num <= num6; num++)
{
imageListByGreyColor.get_ImageArrayList()[num].StretchToSize(num3, num2);
}
this._strResult = "";
int num7 = imageListByGreyColor.get_ImageArrayList().Count - 1;
for (num = 0; num <= num7; num++)
{
this._strResult = this._strResult + this._objNNList.RecogCharacter(imageListByGreyColor.get_ImageArrayList()[num]);
}
}
public ImageArrayList GetImageListByGreyColor(int num1)
{
ImageArrayList list2 = new ImageArrayList();
int num3 = this._intWidth - 1;
for (int i = 0; i <= num3; i++)
{
int num4 = this._intHeight - 1;
for (int j = 0; j <= num4; j++)
{
if (this._intSourceArray[i, j] == num1)
{
AreaFiller filler = new AreaFiller(ref this._intSourceArray, i, j);
list2.get_ImageArrayList().Add(filler.OutputAsImageArray());
}
}
}
return list2;
}