public Tuple<string, int> Recognize(Image<Gray, byte> src)
{
var list = src.getEdge().Sample(100);
#region 计算形状上下文
int r = 15;
var scall = Jim.OCR.ShapeContext2D.ShapeContext.ComputeSC(list);
var scq = new double[r, 60];
for (int i = 0; i < r; ++i) {
int pos = rand.Next(list.Count);
for (int k = 0; k < 60; ++k) {
scq[i, k] = scall[pos, k];
}
}
#endregion
#region 计算距离
var dists = new ValueIndexPair<double>[SC.template_sc.Length];
for (int i = 0; i < SC.template_sc.Length; ++i) {
double[,] sci = SC.template_sc[i];
double[,] costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(scq, sci);
double cost = 0;
for (int j = 0; j < r; ++j) {
double min = double.MaxValue;
for (int u = 0; u < 100; ++u) {
double val = costmat[j, u];
if (val < min) min = val;
}
cost += min;
}
dists[i] = new ValueIndexPair<double> { Value = cost, Index = i };
}
#endregion
#region 对结果排序
var arr = dists
.OrderBy(p => p.Value)
.Select(p => new { Distance = p.Value, Char = SC.template_chars[p.Index] })
//.Where(p => "ABCDEFGHIJKLMNPQRSTUVWXYZ123456789".IndexOf(p.Char) != -1)
.Where(p => Filter.IndexOf(p.Char) != -1)
.ToArray();
Dictionary<string, int> matchcount = new Dictionary<string, int>();
foreach (var pair in arr.Take(Knn)) {
string ch = pair.Char;
matchcount[ch] = matchcount.ContainsKey(ch) ? matchcount[ch] + 1 : 1;
}
var match = matchcount.Select(pair => new { Count = pair.Value, Ch = pair.Key })
.Where(v => v.Count > 0)
.OrderByDescending(v => v.Count).ToArray();
//string result = "";
//foreach (var m in match.Take(3)) {
// result += String.Format("Char:'{0}',Accuracy:{1}/{2}\t", m.Ch, m.Count, knn);
//}
#endregion
return new Tuple<string, int> { First = match[0].Ch, Second = match[0].Count };
}
private void recognize_rsc()
{
if (template_histograms == null) {
MessageBox.Show("尚未读取模板。");
return;
}
new Thread(new ThreadStart(() => {
clearLog();
showStatus("搜索中");
foreach (var challenge in splitted_chars) {
timer.Restart();
var list = challenge.getEdge().Sample(100);
#region 计算形状上下文
int r = 15;
var scall = Jim.OCR.ShapeContext2D.ShapeContext.ComputeSC(list);
var scq = new double[r, 60];
for (int i = 0; i < r; ++i) {
int pos = rand.Next(list.Count);
for (int k = 0; k < 60; ++k) {
scq[i, k] = scall[pos, k];
}
}
#endregion
#region 计算距离
var dists = new ValueIndexPair<double>[template_sc.Length];
for (int i = 0; i < template_sc.Length; ++i) {
double[,] sci = template_sc[i];
double[,] costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(scq, sci);
double cost = 0;
for (int j = 0; j < r; ++j) {
double min = double.MaxValue;
for (int u = 0; u < 100; ++u) {
double val = costmat[j, u];
if (val < min) min = val;
}
cost += min;
}
dists[i] = new ValueIndexPair<double> { Value = cost, Index = i };
showProgress((i + 1.0) / template_histograms.Length);
}
#endregion
#region 对结果排序
var arr = dists
.OrderBy(p => p.Value)
.Select(p => new { Distance = p.Value, Char = template_chars[p.Index] })
//.Where(p => "ABCDEFGHIJKLMNPQRSTUVWXYZ123456789".IndexOf(p.Char) != -1)
.ToArray();
Dictionary<string, int> matchcount = new Dictionary<string, int>();
int knn = 10;
foreach (var pair in arr.Take(knn)) {
string ch = pair.Char;
matchcount[ch] = matchcount.ContainsKey(ch) ? matchcount[ch] + 1 : 1;
}
var match = matchcount.Select(pair => new { Count = pair.Value, Ch = pair.Key })
.Where(v => v.Count > 0)
.OrderByDescending(v => v.Count).ToArray();
string result = "";
foreach (var m in match.Take(3)) {
result += String.Format("Char:'{0}',Accuracy:{1}/{2}\t", m.Ch, m.Count, knn);
}
appendLine(result);
#endregion
}
appendLine("-----------------------------------------------------");
showStatus("搜索完成，共用时{0}ms。", timer.Stop());
})).Start();
}
public Tuple <string, int> Recognize(Image <Gray, byte> src)
{
var list = src.getEdge().Sample(100);
#region 计算形状上下文
int r = 15;
var scall = Jim.OCR.ShapeContext2D.ShapeContext.ComputeSC(list);
var scq = new double[r, 60];
for (int i = 0; i < r; ++i)
{
int pos = rand.Next(list.Count);
for (int k = 0; k < 60; ++k)
{
scq[i, k] = scall[pos, k];
}
}
#endregion
#region 计算距离
var dists = new ValueIndexPair <double> [SC.template_sc.Length];
for (int i = 0; i < SC.template_sc.Length; ++i)
{
double[,] sci = SC.template_sc[i];
double[,] costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(scq, sci);
double cost = 0;
for (int j = 0; j < r; ++j)
{
double min = double.MaxValue;
for (int u = 0; u < 100; ++u)
{
double val = costmat[j, u];
if (val < min)
{
min = val;
}
}
cost += min;
}
dists[i] = new ValueIndexPair <double> {
Value = cost, Index = i
};
}
#endregion
#region 对结果排序
var arr = dists
.OrderBy(p => p.Value)
.Select(p => new { Distance = p.Value, Char = SC.template_chars[p.Index] })
//.Where(p => "ABCDEFGHIJKLMNPQRSTUVWXYZ123456789".IndexOf(p.Char) != -1)
.Where(p => Filter.IndexOf(p.Char) != -1)
.ToArray();
Dictionary <string, int> matchcount = new Dictionary <string, int>();
foreach (var pair in arr.Take(Knn))
{
string ch = pair.Char;
matchcount[ch] = matchcount.ContainsKey(ch) ? matchcount[ch] + 1 : 1;
}
var match = matchcount.Select(pair => new { Count = pair.Value, Ch = pair.Key })
.Where(v => v.Count > 0)
.OrderByDescending(v => v.Count).ToArray();
//string result = "";
//foreach (var m in match.Take(3)) {
// result += String.Format("Char:'{0}',Accuracy:{1}/{2}\t", m.Ch, m.Count, knn);
//}
#endregion
return(new Tuple <string, int> {
First = match[0].Ch, Second = match[0].Count
});
}
private void recognize_rsc()
{
if (template_histograms == null)
{
MessageBox.Show("尚未读取模板。");
return;
}
new Thread(new ThreadStart(() => {
clearLog();
showStatus("搜索中");
foreach (var challenge in splitted_chars)
{
timer.Restart();
var list = challenge.getEdge().Sample(100);
#region 计算形状上下文
int r = 15;
var scall = Jim.OCR.ShapeContext2D.ShapeContext.ComputeSC(list);
var scq = new double[r, 60];
for (int i = 0; i < r; ++i)
{
int pos = rand.Next(list.Count);
for (int k = 0; k < 60; ++k)
{
scq[i, k] = scall[pos, k];
}
}
#endregion
#region 计算距离
var dists = new ValueIndexPair <double> [template_sc.Length];
for (int i = 0; i < template_sc.Length; ++i)
{
double[,] sci = template_sc[i];
double[,] costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(scq, sci);
double cost = 0;
for (int j = 0; j < r; ++j)
{
double min = double.MaxValue;
for (int u = 0; u < 100; ++u)
{
double val = costmat[j, u];
if (val < min)
{
min = val;
}
}
cost += min;
}
dists[i] = new ValueIndexPair <double> {
Value = cost, Index = i
};
showProgress((i + 1.0) / template_histograms.Length);
}
#endregion
#region 对结果排序
var arr = dists
.OrderBy(p => p.Value)
.Select(p => new { Distance = p.Value, Char = template_chars[p.Index] })
//.Where(p => "ABCDEFGHIJKLMNPQRSTUVWXYZ123456789".IndexOf(p.Char) != -1)
.ToArray();
Dictionary <string, int> matchcount = new Dictionary <string, int>();
int knn = 10;
foreach (var pair in arr.Take(knn))
{
string ch = pair.Char;
matchcount[ch] = matchcount.ContainsKey(ch) ? matchcount[ch] + 1 : 1;
}
var match = matchcount.Select(pair => new { Count = pair.Value, Ch = pair.Key })
.Where(v => v.Count > 0)
.OrderByDescending(v => v.Count).ToArray();
string result = "";
foreach (var m in match.Take(3))
{
result += String.Format("Char:'{0}',Accuracy:{1}/{2}\t", m.Ch, m.Count, knn);
}
appendLine(result);
#endregion
}
appendLine("-----------------------------------------------------");
showStatus("搜索完成，共用时{0}ms。", timer.Stop());
})).Start();
}