def openImageOCR(digitsData):
try:
imageFileName = raw_input('--> Please enter name of the digit image file to be recognized (0 to go back): ')
if imageFileName == '0':
return
print 'Opening ' + imageFileName + '...'
imageFileName = os.getcwd() + '/images/' + imageFileName
originalImage = Image.open(imageFileName).convert('L')
print ' Image Format: {0}'.format(originalImage.format)
print ' Image Mode: {0}'.format(originalImage.mode)
print ' Image Size: {0}'.format(originalImage.size)
print 'Converting the original file to grayscale and displaying...'
originalImage.show()
print "***************************************************"
print 'Recognizing the digit...'
featureVector = ocr_machine_learning.getVector(originalImage,digitsData)
print 'The feature vector for the image is: {0}'.format(featureVector)
finalDigit = ocr_machine_learning.recognizeDigit(featureVector)
print 'The digit in the image is:'
print digitASCII.digits[finalDigit]
checkCorrectDigitCommandLine(finalDigit,originalImage)
except Exception, e:
print "Error opening the file!"
def recognize(self):
if len(self.canvas.find_all()) != 0:
self.checkingDigit = True
self.originalImage = ImageOps.invert(self.image)
print "***************************************************"
print 'Recognizing the digit...'
featureVector = ocr_machine_learning.getVector(self.originalImage, self.digitsData)
print 'The feature vector for the image is: {0}'.format(featureVector)
finalDigit = ocr_machine_learning.recognizeDigit(featureVector)
print 'The digit in the image is:'
print digitASCII.digits[finalDigit]
self.checkCorrectDigitGUI(finalDigit)
return
