/**
* 函数描述：
* 将指纹对象image保存到指纹数据库中，
* 可用的ID而且没有重复指纹保存成功后返回该指纹的ID号
* 参数：
* rgb24_buf : 24bit RGB图像缓冲区
* width ： 图像宽度
* height : 图像高度
* id : 该指纹保存的ID
* 返回值：
* 验证通过则返回FvsOK，否则放回FvsError_t错误码。
**/
FvsError_t
fp_store(FvsByte_t *rgb24_buf, FvsInt_t width,
FvsInt_t height, FvsInt_t *id)
{
FvsError_t err;
FvsInt_t goodness;
FvsInt_t i;
FvsImage_t image, mask;
FvsMinutiaSet_t exist_minutias, new_minutias;
DP("Store width : %d, height : %d.\n", width, height);
image = ImageCreate();
if (FvsOK != (err = ImageSetSize(image, width, height))) {
return err;
}
if (FvsOK != (err = rgb24_to_image(rgb24_buf, image))) {
ImageDestroy(image);
return err;
}
/* process source image */
mask = ImageCreate();
err = ImageSetSize(mask, ImageGetWidth(image), ImageGetHeight(image));
if (FvsOK != err) {
return err;
}
new_minutias = MinutiaSetCreate(MAXMINUTIA);
exist_minutias = MinutiaSetCreate(MAXMINUTIA);
if (FvsOK != (err = img_to_minutias(image,mask,new_minutias))) {
ImageDestroy(image);
ImageDestroy(mask);
MinutiaSetDestroy(new_minutias);
MinutiaSetDestroy(exist_minutias);
return err;
}
/* 暂时跳过指纹重复检测 */
#if 0
/* 保存指纹之前检查是否有指纹重复 */
for (i = 0; i < MAX_FINGER_NO ; i++) {
if (fdb_id_is_used(i) != ID_USED){
continue;
}
if (FvsOK != (err = fdb_load_minutias(i, exist_minutias))) {
return err;
}
err = MatchingCompareMinutiaSets(new_minutias, exist_minutias, &goodness);
if (FvsOK != err) {
return err;
}
if (FP_THRESHOLD >= goodness) {
break;
}
}
if (MAX_FINGER_NO == i) {
return FvsNoID;
}
#endif
if (FvsOK != (err = fdb_alloc_id(id)) ){
ImageDestroy(image);
ImageDestroy(mask);
MinutiaSetDestroy(new_minutias);
MinutiaSetDestroy(exist_minutias);
return err;
}
fdb_id_set(*id);
err = fdb_store_minutias(*id, new_minutias);
ImageDestroy(image);
ImageDestroy(mask);
MinutiaSetDestroy(new_minutias);
MinutiaSetDestroy(exist_minutias);
#if 0 /* 存储之后立即读出来验证 */
new_minutias = MinutiaSetCreate(MAXMINUTIA);
err = fdb_load_minutias(*id, new_minutias);
if (err == FvsOK) {
DP("\tLoad after store minutias ok.\n");
} else {
DP("\tLoad after store minutias fail. return %d.\n", err);
}
MinutiaSetDestroy(new_minutias);
#endif
return err;
}
void ProThread::run() {
QPixmap tempPic;
QString tname;
FvsImage_t mask;
FvsImage_t image;
FvsImage_t directionimage;
FvsMinutiaSet_t minutia = minutiaSet;
FvsFloatField_t direction;
FvsFloatField_t frequency;
FvsByte_t bmfh[14];
BITMAPINFOHEADER bmih;
RGBQUAD rgbq[256];
char *orifilename = bmpfilename.toLatin1().data();
char *fname;
mask = ImageCreate();
image = ImageCreate();
directionimage = ImageCreate();
direction = FloatFieldCreate();
frequency = FloatFieldCreate();
if(FvsOK != FvsImageImport(image, orifilename, bmfh, &bmih, rgbq)) {
QMessageBox::information(NULL, "Error", "BMP file error!");
return;
}
tempPic.load(orifilename);
originLabel->setPixmap(tempPic);
FvsInt_t w = ImageGetWidth (image);
FvsInt_t h = ImageGetHeight(image);
ImageSetSize(directionimage, w, h);
ImageSoftenMean(image, 3);
ImageNormalize(image, 100, 10000);
FingerprintGetDirection(image, direction, 7, 8);
FingerprintGetFrequency1(image, direction, frequency);
FingerprintGetMask(image, direction, frequency, mask);
ImageEnhanceGabor(image, direction, frequency, mask, radius);
OverlayDirection(directionimage, direction);
//saving file....
if(genPic) {
tname = bmpfilename + "_dir.bmp";
fname = tname.toLatin1().data();
FvsImageExport(directionimage, fname, bmfh, &bmih, rgbq);
tempPic.load(fname);
directionLabel->setPixmap(tempPic);
tname = bmpfilename + "_mask.bmp";
fname = tname.toLatin1().data();
FvsImageExport(mask, fname, bmfh, &bmih, rgbq);
tempPic.load(fname);
maskLabel->setPixmap(tempPic);
tname = bmpfilename + "_enh.bmp";
fname = tname.toLatin1().data();
FvsImageExport(image, fname, bmfh, &bmih, rgbq);
tempPic.load(fname);
enhanceLabel->setPixmap(tempPic);
}
ImageBinarize(image, (FvsByte_t)0x80);
if(genPic) {
tname = bmpfilename + "_bin.bmp";
fname = tname.toLatin1().data();
FvsImageExport(image, fname, bmfh, &bmih, rgbq);
tempPic.load(fname);
binarizeLabel->setPixmap(tempPic);
}
ImageThinHitMiss(image);
if(genPic) {
tname = bmpfilename + "_thin.bmp";
fname = tname.toLatin1().data();
FvsImageExport(image, fname, bmfh, &bmih, rgbq);
tempPic.load(fname);
thinningLabel->setPixmap(tempPic);
}
MinutiaSetExtract(minutia, image, direction, mask);
if(genPic) {
ImageClear(image);
MinutiaSetDraw(minutia, image);
tname = bmpfilename + "_minu.bmp";
fname = tname.toLatin1().data();
FvsImageExport(image, fname, bmfh, &bmih, rgbq);
tempPic.load(fname);
minutiaLabel->setPixmap(tempPic);
}
//QMessageBox::information(NULL,"Done","Complete!");
}
/**
* 函数描述：
* 将指纹对象image进行验证，
* 通过则返回匹配指纹的ID号和指纹匹配度
* 参数：
* rgb24_buf : 24bit RGB图像缓冲区
* width ： 图像宽度
* height : 图像高度
* id : 与image匹配指纹的ID
* goodness : 指纹匹配值
* 返回值：
* 验证通过则返回FvsOK，否则放回FvsError_t错误码。
**/
FvsError_t
fp_auth(FvsByte_t *rgb24_buf, FvsInt_t width, FvsInt_t height,
FvsInt_t *id, FvsInt_t *goodness)
{
FvsError_t err;
FvsInt_t score;
/* 最佳匹配使用变量 */
FvsInt_t max_score, max_id;
FvsInt_t i;
FvsImage_t image, mask;
FvsMinutiaSet_t exist_minutias, new_minutias;
image = ImageCreate();
if (FvsOK != (err = ImageSetSize(image, width, height))) {
return err;
}
if (FvsOK != (err = rgb24_to_image(rgb24_buf, image))) {
return err;
}
new_minutias = MinutiaSetCreate(MAXMINUTIA);
exist_minutias = MinutiaSetCreate(MAXMINUTIA);
/* process source image */
mask = ImageCreate();
err = ImageSetSize(mask, ImageGetWidth(image), ImageGetHeight(image));
if (FvsOK != err) {
return err;
}
if (FvsOK != (err = img_to_minutias(image,mask,new_minutias))) {
return err;
}
/* 在算法没有对指纹进行分类之前，先使用遍历方法查找指纹特征向量 */
max_score = 0;
max_id = -1;
for (i = 0; i < MAX_FINGER_NO; i++) {
if (fdb_id_is_used(i)) {
continue;
}
DP("---> Load index : %d minutia set...\n", i);
if (FvsOK != (err = fdb_load_minutias(i, exist_minutias))) {
goto exit_auth;
}
DP("----> Matching index : %d ...\n", i);
err = MatchingCompareMinutiaSets(new_minutias, exist_minutias, &score);
if (FvsOK != err) {
return err;
}
DP("----> Match to index : %d score is : %d.\n", i, score);
#ifdef FVS_BEST_MATCH
/* 最佳匹配 */
if (score >= FP_THRESHOLD) {
if (score > max_score) {
max_score = score;
max_id = i;
}
}
#else
/* 首次匹配 */
if (score >= FP_THRESHOLD) {
*id = i;
*goodness = score;
goto exit_auth;
}
#endif
}
#ifdef FVS_BEST_MATCH
*id = max_id;
*goodness = max_score;
#endif
exit_auth:
ImageDestroy(image);
ImageDestroy(mask);
MinutiaSetDestroy(new_minutias);
MinutiaSetDestroy(exist_minutias);
return err;
}
