/// <summary>
/// 感知哈希算法
/// </summary>
/// <param name="bm">分割後的小圖</param>
/// <returns>字元</returns>
public static char OcrHash(Bitmap bm)
{
Dictionary <string, Bitmap> samples = LoadSamples();
double diff = .0;
string mayBe = null;
foreach (string key in samples.Keys)
{
double diffRate = SampleOcr.HashComp(samples[key], bm);
if (diffRate == 1)
{
LastSimilar = 1;
return(key[0]);
}
if (diffRate > diff)
{
mayBe = key;
diff = diffRate;
}
}
if (mayBe == null)
{
throw new ApplicationException();
}
LastSimilar = (float)diff;
return(mayBe[0]);
}
private void SplitCaptcha(Captcha obj, int want_char = 0, int mode = 0)
{
// Step2 其他處理
/*if (comboBox1.SelectedIndex == 1)
* obj.RemoteNoiseLineByPixels();
* else if (comboBox1.SelectedIndex == 2)
* {
* obj.ClearPictureBorder(2);
* obj.RemoteNoisePointByPixels();
* }*/
// Step2 改變圖片範圍
/*obj.ConvertBmpValidRange(4, 128);
* pic_Captcha_Cut.Image = obj.BmpSource;*/
// Step3 切割圖片範圍
Bitmap[] bitmap = null;
if (mode == 0)
{
bitmap = SampleOcr.SplitBitmaps(obj.BmpSource);
if (bitmap.Length != want_char)
{
bitmap = null;
bitmap = obj.GetSplitPicChars(want_char, 1);
}
}
else if (mode == 1)
{
bitmap = SampleOcr.SplitBitmaps(obj.BmpSource);
}
else if (mode == 2)
{
bitmap = obj.GetSplitPicChars(want_char, 1);
}
CaptchaAlgorithm(bitmap, cb_algorithm.SelectedIndex);
}
private void CaptchaAlgorithm(Bitmap[] bitmap, int mode = 0)
{
try
{
for (int i = 0; i < bitmap.Length; i++)
{
switch (i)
{
case 0:
pic_p1.Image = SampleOcr.Trim(bitmap[0]);
switch (mode)
{
case 0:
txt_p1.Text = SampleOcr.OcrCharEx(SampleOcr.Trim(bitmap[i])).ToString();
break;
case 1:
txt_p1.Text = SampleOcr.OcrHash(SampleOcr.Trim(bitmap[i])).ToString();
break;
case 2:
txt_p1.Text = SampleOcr.OcrChar(SampleOcr.Trim(bitmap[i])).ToString();
break;
}
txt_s1.Text = txt_p1.Text;
txt_n1.Text = (SampleOcr.LastSimilar * 100).ToString() + "%";
break;
case 1:
pic_p2.Image = SampleOcr.Trim(bitmap[1]);
switch (mode)
{
case 0:
txt_p2.Text = SampleOcr.OcrCharEx(SampleOcr.Trim(bitmap[i])).ToString();
break;
case 1:
txt_p2.Text = SampleOcr.OcrHash(SampleOcr.Trim(bitmap[i])).ToString();
break;
case 2:
txt_p2.Text = SampleOcr.OcrChar(SampleOcr.Trim(bitmap[i])).ToString();
break;
}
txt_s2.Text = txt_p2.Text;
txt_n2.Text = (SampleOcr.LastSimilar * 100).ToString() + "%";
break;
case 2:
pic_p3.Image = SampleOcr.Trim(bitmap[2]);
switch (mode)
{
case 0:
txt_p3.Text = SampleOcr.OcrCharEx(SampleOcr.Trim(bitmap[i])).ToString();
break;
case 1:
txt_p3.Text = SampleOcr.OcrHash(SampleOcr.Trim(bitmap[i])).ToString();
break;
case 2:
txt_p3.Text = SampleOcr.OcrChar(SampleOcr.Trim(bitmap[i])).ToString();
break;
}
txt_s3.Text = txt_p3.Text;
txt_n3.Text = (SampleOcr.LastSimilar * 100).ToString() + "%";
break;
case 3:
pic_p4.Image = SampleOcr.Trim(bitmap[3]);
switch (mode)
{
case 0:
txt_p4.Text = SampleOcr.OcrCharEx(SampleOcr.Trim(bitmap[i])).ToString();
break;
case 1:
txt_p4.Text = SampleOcr.OcrHash(SampleOcr.Trim(bitmap[i])).ToString();
break;
case 2:
txt_p4.Text = SampleOcr.OcrChar(SampleOcr.Trim(bitmap[i])).ToString();
break;
}
txt_s4.Text = txt_p4.Text;
txt_n4.Text = (SampleOcr.LastSimilar * 100).ToString() + "%";
break;
case 4:
pic_p5.Image = SampleOcr.Trim(bitmap[4]);
switch (mode)
{
case 0:
txt_p5.Text = SampleOcr.OcrCharEx(SampleOcr.Trim(bitmap[i])).ToString();
break;
case 1:
txt_p5.Text = SampleOcr.OcrHash(SampleOcr.Trim(bitmap[i])).ToString();
break;
case 2:
txt_p5.Text = SampleOcr.OcrChar(SampleOcr.Trim(bitmap[i])).ToString();
break;
}
txt_s5.Text = txt_p5.Text;
txt_n5.Text = (SampleOcr.LastSimilar * 100).ToString() + "%";
break;
}
}
}
catch { }
}
