double Distance(FV &distr_1, FV &distr_2) {
FV m(distr_1.size());
for (int i = 0; i < distr_1.size(); ++i) {
m[i] = (distr_1[i] + distr_2[i]) / 2.0;
}
return (KL(distr_1, m) + KL(distr_2, m)) / 2;
}
void solve()
{
Zero(num);
dig = 0;
while (n != 0) {
FVi it = upper_bound(fis.begin(), fis.end(), Fi(n, 0));
--it;
if (dig == 0) dig = it->d;
num[it->d - 1] = 1;
n -= it->f;
}
}
void prepare()
{
int a, b, c;
fis.push_back(Fi(1, 1));
fis.push_back(Fi(2, 2));
a = 1, b = 2;
int d = 3;
while (true) {
c = a + b;
fis.push_back(Fi(c, d++));
if (c > MAXN) break;
a = b, b = c;
}
}
double KL(FV &p, FV &q) {
double kl = 0.0;
double denom1 = 0.0;
double denom2 = 0.0;
for (int i = 0; i < p.size(); ++i) {
// kl += p[i] * log(p[i] / q[i]);
kl += abs(p[i] - q[i]);
denom1 = p[i] * p[i];
denom2 = q[i] * q[i];
}
return kl;
}
int main(int argc, char **argv) {
vector<FV> all_nodes_trans;
ifstream ifs (argv[1]);
string line;
double dbl;
while (getline(ifs, line)) {
istringstream iss(line);
FV node;
while (iss >> dbl) {
node.push_back(dbl);
} // end while
node.pop_back();
node.pop_back();
node.pop_back();
all_nodes_trans.push_back(node);
} // end of model file
ifs.close();
vector<FV> all_nodes(all_nodes_trans[0].size()); // as many words
for (int i = 0; i < all_nodes_trans[0].size(); ++i) {
FV word_vec(all_nodes_trans.size());
double sum = 0;
for (int j = 0; j < all_nodes_trans.size(); ++j) {
word_vec[j] = all_nodes_trans[j][i];
sum += word_vec[j];
}
for (int j = 0; j < all_nodes_trans.size(); ++j) {
word_vec[j] /= sum;
}
all_nodes[i] = word_vec;
}
cerr << all_nodes.size() << " number of words" << endl;
cerr << all_nodes[0].size() << " dimensions" << endl;
vector<double> js_div(all_nodes.size());
map<int, map<int, double> > memoize;
set<int> not_done;
int starter = 0;
double super_max = -1000000;
for (int i = 0; i < all_nodes.size(); ++i) {
not_done.insert(i);
for (int j = 0; j < all_nodes.size(); ++j) {
if (j == i) {
js_div[j] = 0;
continue;
}
double this_js_div;
memoize[i][j] = KL(all_nodes[i], all_nodes[j]);
js_div[j] = this_js_div;
cerr << memoize[i][j] << " ";
} // end candidate nodes
cerr << endl;
double max_distance = *max_element(js_div.begin(), js_div.end());
if (max_distance > super_max) {
super_max = max_distance;
starter = i;
}
} // end nodes
do {
cout << starter;
not_done.erase(starter);
double min_distance = 100000000;
int closest = 1;
for (set<int>::iterator i = not_done.begin(); i != not_done.end(); ++i) {
if (memoize[starter][*i] < min_distance) {
min_distance = memoize[starter][*i];
closest = *i;
}
}
starter = closest;
cout << " " << min_distance << endl;
} while(not_done.size());
return 0;
}
//----------------------------------------------------------------------------------
int main(int argc,char* argv[])
{
ofstream fut;
fut.open("panProcess.dat", ios::binary | ios::out);
fut.write((char*)'1', sizeof(char));
fut.close();
exit(1);
Point matchLoc;
char winname[] = "window";
//^template matching params
Mat background;
Mat image;
String file(argv[0]);
/*cout << "enter the file name to be analyzed \t";
cin >> file;*/
file += argv[1];
imgSample = imread(file, CV_LOAD_IMAGE_UNCHANGED);
imgOriginal = imread(file, CV_LOAD_IMAGE_UNCHANGED);
if (imgSample.data == NULL){ cout << "hi there"; return -1; }
if (imgOriginal.data == NULL){ cout << "hi there"; return -1; }
winarr[0] = 'w';//global window array
winarr[1] = 'i';
winarr[2] = 'n';
winarr[3] = 't';
winarr[4] = 't';
winarr[5] = '.';
winarr[6] = 'p';
winarr[7] = 'n';
winarr[8] = 'g';
winarr[9] = '\0';
//
//if (choice == 2){
// system("cls");
// cout << "---------PAN CARD dataset creation-------";
// vector<vector<Point>> namecont;
// //create templates
// cout << "--------CREATE Templates---------";
// ::i = 0;
// winarr[3] = '5';
// namedWindow(winname, WINDOW_AUTOSIZE);
// setMouseCallback(winname, mcallback, NULL);
// imshow(winname, imgOriginal);
// waitKey(0);
// Mat passer = imgOriginal.clone();
// for (int c = 0; c < ::i; c++){
// Mat imag = imgOriginal(Rect(points[c][0], points[c][2]));
// //fillConvexPoly(passer, points[c], NUMPTS, Scalar(255, 255, 255));
// winarr[4] = c + 48;
// imwrite(winarr, imag);
// }
// system("pause");
// cout << "creating the background interface data\n";
// //getbkgd(passer, background, 1, 37, 31, 20);
// //getcontours(passer, namecont);
// cout << "got it";
//
// }
Methods S;
datafile testout;
PAN pan;
Mat panimg = (imgOriginal.clone());
PAN::Image output;
vector<vector<Point>> contours;
//detect text is required
//local vars
pan.init(&panimg, 0, panimg.cols, 0, panimg.rows, Point2f(0, 0));
Mat snipped = pan.getcontours(contours, TEXT);//u get only text contours
contours = pan.mergecontours(contours);
OCRit(snipped, contours, testout.data, snipped, "eng");//global function
pan.authenticate(argv[2]);
testout.authenticity = pan.getauthenticity();
//extract signature
snipped = pan.getcontours(contours, SIGN);
Mat sign = pan.extractSIGN(contours);
imshow("sign", sign);
waitKey();
pan.showpan();
//will use fake database too after sometime but not now
//String FakeDatabase = CWD + "\\fake\\sign1" + (char)48 + ".png";
//cout << OrigDatabase << "\n\n-----------\n\n";
//cout << FakeDatabase << "\n\n-----------\n\n";
//---------------------------------------------------------------------
//ifstream sigfile("sig.dat", ios::binary | ios::in);
vector<Methods::Image> *std = new vector<Methods::Image >();
vector<FV::feature> *reference = new vector<FV::feature >();
FV refV;
FV tesV;
float tolerance = (float)0.1;
/*if (sigfile.is_open()){
refV.load("sig.dat");
}
else*/{
//Mat sign=imread("sign10.png");
S.preprocess(&sign, std);
S.partitionImage(&sign, NUMPART, std);
S.calculateCOG(std);
S.calculateCOGDistances(std);
S.calculateCOGAngles(std);
//S.showSubImages(std, &sign, "sign10.png");
refV.add(std, reference);
}
float result = 0, count = 0, sum = 0;
for (int i = 10; i < 19; i++){
Methods T;
vector<Methods::Image> *signtest = new vector<Methods::Image >();
vector<FV::feature> *test = new vector<FV::feature >();
String imagename(argv[0]);
imagename =imagename + "signature//sign";
imagename = imagename + (char)((i / 10) + 48) + (char)((i % 10) + 48) + ".png";
Mat testsign = imread(imagename);
//cout << OrigDatabase + imagename << "\n-------------------------\n";
T.preprocess(&testsign, signtest);
T.partitionImage(&testsign, NUMPART, signtest);
T.calculateCOG(signtest);
T.calculateCOGDistances(signtest);
T.calculateCOGAngles(signtest);
tesV.add(signtest, test);
//T.showSubImages(signtest, &testsign, imagename);
result = refV.compareNupdate(tesV.standard, tolerance, 70);
if (result >= 70){ sum += result; count++; }
}
if (count != 0){
sum /= count;
cout << "good matches were " << count<<"\n";
testout.sigverif = sum;
}
else{ testout.sigverif = 0; }
//---------------------------------------------------------------------
//write testout to a file
ofstream fout;
fout.open("panProcess.dat", ios::binary | ios::out);
fout.write((char*)&testout, sizeof(testout));
fout.close();
}
