Using the C++ API, we can extract each character recognized in the image
using
```
#include <tesseract/baseapi.h> #include <leptonica/allheaders.h> int main()
{ char *outText; tesseract::TessBaseAPI *api = new
tesseract::TessBaseAPI(); // Initialize tesseract-ocr with English, without
specifying tessdata path if (api->Init(NULL, "eng")) { fprintf(stderr,
"Could not initialize tesseract.\n"); exit(1); } Pix *image =
pixRead("/usr/src/tesseract/testing/phototest.tif"); api->SetImage(image);
api->Recognize(0); tesseract::ResultIterator* ri = api->GetIterator();
tesseract::PageIteratorLevel level = tesseract:: PSM_SINGLE_CHAR ; if (ri
!= 0) { do { const char* word = ri->GetUTF8Text(level); float conf =
ri->Confidence(level); int x1, y1, x2, y2; ri->BoundingBox(level, &x1, &y1,
&x2, &y2); printf("word: '%s'; \tconf: %.2f; BoundingBox: %d,%d,%d,%d;\n",
word, conf, x1, y1, x2, y2); delete[] word; } while (ri->Next(level)); } //
Destroy used object and release memory api->End(); delete api; delete []
outText; pixDestroy(&image); return 0; }
```
This will only report a single recognized character though. However, I
would assume that in the backend, there can be multiple possible matches
for a position and only the most likely one is reported in the code above.
Is there a way to get all possible matches for an image?
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