def process_image(content, language, noOCR=False, despeckle=False):
if noOCR:
logging.error("OCR disabled, no text available")
return None
from sh import tesseract, convert
tmpFolder = tempfile.mkdtemp(prefix='imap-dms-ocr-tmp')
logging.debug("Converting image in tmpfolder %s", tmpFolder)
convert(convert_options, "-", tmpFolder+"/out.png", _in=content,
_in_bufsize=10000)
logging.debug("Running tesseract with language %s on file %s",
language, tmpFolder+"/out.png")
tesseract(tmpFolder+"/out.png", tmpFolder+"/out", "-l",language)
f = open(tmpFolder+"/out.txt", "r")
content = unicode(f.read(), "utf-8")
f.close()
logging.debug("Found %d chars for this page", len(content))
content=content.strip()
if(len(content)==0):
return None
else:
return content
def crack(self,
dilateiter=4,
erodeiter=4,
threshold=200,
size=(155, 55),
whitelist_chars=string.ascii_lowercase): #Take all parameters
''':param whitelist_char: the characters to recognize'''
resized = resizeImage(self.image,
(self.image.width * 6, self.image.height * 6))
dilateImage(resized, dilateiter)
erodeImage(resized, erodeiter)
thresholdImage(resized, threshold, cv.CV_THRESH_BINARY)
resized = resizeImage(resized, size)
#Call the tesseract engine
from tempfile import NamedTemporaryFile
temp_img_file = NamedTemporaryFile(suffix='.jpg')
temp_solution_file = NamedTemporaryFile()
cv.SaveImage(temp_img_file.name, resized)
tesseract(temp_img_file.name, temp_solution_file.name, '-c',
'tessedit_char_whitelist=' + whitelist_chars)
ret = str(cat(temp_solution_file.name + '.txt'))
import os
os.unlink(temp_solution_file.name + '.txt')
return ret
def process_pdf(content, language, noOCR=False, noPDFText=False, despeckle=False):
if noPDFText:
logging.debug("pdftotext disabled")
pdfText = ""
else:
from sh import pdftotext
logging.debug("Extracting pdf contents using pdftotext")
pdfText = unicode(pdftotext('-', '-', _in=content, _in_bufsize=10000))
logging.debug("Extracted %d chars from the text", len(pdfText))
if noOCR:
logging.debug("OCR disabled, returning only pdf text")
else:
from sh import identify, tesseract, convert
logging.debug("Starting OCR Operation")
logging.debug("Extracing page numbers")
pageNos = map(int,
str(identify("-format", "%p ", "pdf:-", _in=content,_in_bufsize=10000)).\
strip().split(' '))
logging.debug("Found pages: %s", pageNos)
allPages=u""
for pageNo in pageNos:
logging.debug("Processing page %d", pageNo)
tmpFolder = tempfile.mkdtemp(prefix='imap-dms-ocr-tmp')
co = convert_options if not despeckle else convert_options_despeckle
logging.debug("Converting page to image in tmpfolder %s with options %s", tmpFolder, co)
convert(co, "pdf:-[%d]" % (pageNo), tmpFolder+"/out.png",
_in=content, _in_bufsize=10000)
logging.debug("Running tesseract with language %s on file %s",
language, tmpFolder+"/out.png")
tesseract(tmpFolder+"/out.png", tmpFolder+"/out", "-l",language)
f = open(tmpFolder+"/out.txt", "r")
pageContent = unicode(f.read(), "utf-8")
f.close()
logging.debug("Found %d chars for this page", len(pageContent))
allPages+=pageContent+u"\n"
shutil.rmtree(tmpFolder)
pdfText=pdfText.strip()+"\n\n\n"+allPages.strip()
if(len(pdfText.strip())==0):
logging.error("No text could be recognized")
return None
else:
return pdfText
def create_tiff_and_txt(pnms, language):
language = language or DEFAULT_LANGUAGE
tiffs = []
texts = []
for pnm in sorted(pnms):
unpapered = '_' + pnm
unpaper(pnm, unpapered)
if os.path.exists(unpapered):
os.remove(pnm)
tiff = unpapered.replace('.pnm', '.tiff')
convert(unpapered, tiff)
if os.path.exists(tiff):
os.remove(unpapered)
txtfile = tiff.replace('.tiff', '')
tiffs.append(tiff)
texts.append(txtfile + '.txt')
tesseract(tiff, txtfile, '-l', language)
return tiffs, texts
def crack(self,dilateiter=4, erodeiter=4, threshold=200, size=(155,55), whitelist_chars=string.ascii_lowercase): #Take all parameters
''':param whitelist_char: the characters to recognize'''
resized = resizeImage(self.image, (self.image.width*6, self.image.height*6))
dilateImage(resized, dilateiter)
erodeImage(resized, erodeiter)
thresholdImage(resized,threshold, cv.CV_THRESH_BINARY)
resized = resizeImage(resized, size)
#Call the tesseract engine
from tempfile import NamedTemporaryFile
temp_img_file = NamedTemporaryFile(suffix='.jpg')
temp_solution_file = NamedTemporaryFile()
cv.SaveImage(temp_img_file.name,resized)
tesseract(temp_img_file.name, temp_solution_file.name, '-c', 'tessedit_char_whitelist='+whitelist_chars)
ret = str(cat(temp_solution_file.name+'.txt'))
import os
os.unlink(temp_solution_file.name+'.txt')
return ret