How can we get the confidence levels after OCR of an image using tesseract 3.05 in windows? I am calling tesseract from python using subprocess commands:
retcode = subprocess.call("tesseract -l eng myImage.png txt -psm 6" , stdin=None, stdout=False, stderr=None, shell=False)
This is the wrapper that you need: https://pypi.python.org/pypi/tesserocr/2.0.0 . Also there are tons of python wrapper out there, but this library is the closest wrapper that nearly cover all of C++ API.
Example:
from PIL import Image
from tesserocr import PyTessBaseAPI
image = Image.open('/usr/src/tesseract/testing/phototest.tif')
with PyTessBaseAPI() as api:
api.SetImage(image)
boxes = api.GetComponentImages(RIL.TEXTLINE, True)
print 'Found {} textline image components.'.format(len(boxes))
for i, (im, box, _, _) in enumerate(boxes):
# im is a PIL image object
# box is a dict with x, y, w and h keys
api.SetRectangle(box['x'], box['y'], box['w'], box['h'])
ocrResult = api.GetUTF8Text()
conf = api.MeanTextConf()
print (u"Box[{0}]: x={x}, y={y}, w={w}, h={h}, "
"confidence: {1}, text: {2}").format(i, conf, ocrResult, **box)