def return_data_emirates(filename):
cif, name, nat = arabic(filename)
text2 = file_handler(filename)
Data = emi_extract(text2)
if Data != None:
Data['arabic_name'] = name
Data['cif'] = cif
Data['nationality_arabic'] = nat
return Data
def doc_type(filename):
text2 = file_handler(filename)
if text2[0] == 'T':
text2.replace('T', 'I')
if text2[0] == 'I':
return 'emirates_id'
elif text2[0] == 'P':
if text2[2:5] == 'IND':
return 'passport_ind'
elif text2[2:5] == 'PAK':
return 'passport_pak'
elif text2[2:5] == 'ARE':
return 'passport_uae'
elif text2[2:5] == 'JOR':
return 'passport_jor'
def return_data(filename):
'''img=cv2.imread(filename)
apply_ocr(filename)
df = pd.read_csv('eng.tsv',sep='\t',quoting=csv.QUOTE_NONE)
df=df[df.text != ' ']
df.dropna()
footer = df[df.block_num == df.block_num.max()]
footer_coords = [(footer.iloc[0].left-20, footer.iloc[0].top-20), (footer.iloc[-1].left+footer.iloc[-1].width+20, footer.iloc[-1].top+footer.iloc[-1].height+20)]
print(footer_coords)
img2=img[footer_coords[0][1]:footer_coords[1][1],footer_coords[0][0]:footer_coords[1][0]]
cv2.imshow('cut',img2)
cv2.waitKey(0)
#------Running tesseract on ---------
text=pytesseract.image_to_string(img2)
text=text.replace(" ",'')
text2=text.replace('\n','')
print(text2)
'''
text2 = file_handler(filename)
text2 = list(text2)
#print(len(text2))
if len(text2) > 88:
del text2[40:40 + len(text2) - 88]
if len(text2) < 88:
text2.insert(41, "<")
Data = {
'Name': None,
'Passport Number': None,
'ID Number': None,
'Date Of Birth': None,
'Expiry Date': None,
'Nationality': None,
'Sex': None
}
#---Name----
name_string = text2[5:]
index = name_string.find('<')
name1 = name_string[0:index]
forward_string = name_string[index + 2:]
index2 = forward_string.find('<')
name2 = forward_string[0:index2]
final_string = forward_string[index2 + 1:]
index3 = final_string.find('<')
name3 = final_string[0:index3]
Data["Name"] = name1 + " " + name2 + " " + name3
#---Passport Numer
Data["Passport Number"] = text2[44:54]
#---Nationality____
Data['Nationality'] = text2[54:57]
#----Birth Date
year_store = text2[57:59]
birth_month = text2[59:61]
birth_date = text2[61:63]
if int(year_store) > 30:
year = '19' + year_store
else:
year = '20' + year_store
birth_day = birth_date + '/' + birth_month + '/' + year
Data["Date Of Birth"] = birth_day
#--Sex---
Data['Sex'] = text2[64]
#---Expiry Date-----
expiry_year = '20' + text2[65:67]
expiry_month = text2[67:69]
expiry_date = text2[69:71]
Data["Expiry Date"] = expiry_date + '/' + expiry_month + '/' + expiry_year
#---ID number---
Data["ID Number"] = text2[72:84]
return Data
def jord_passport(filename):
text2 = file_handler(filename)
text2 = list(text2)
#print(len(text2))
if len(text2) > 88:
del text2[40:40 + len(text2) - 88]
if len(text2) < 88:
text2.insert(41, "<")
print(len(text2))
text2 = "".join(text2)
print(text2)
Data = {
'Name': None,
'Passport Number': None,
'National Number': None,
'Date Of Birth': None,
'Expiry Date': None,
'Nationality': None,
'Sex': None
}
#---Name----
name_string = str(text2[5:])
index = name_string.find('<')
name1 = name_string[0:index]
forward_string = name_string[index + 2:]
index2 = forward_string.find('<')
name2 = forward_string[0:index2]
final_string = forward_string[index2 + 1:]
index3 = final_string.find('<')
name3 = final_string[0:index3]
Data["Name"] = name1 + " " + name2 + " " + name3
#----Passport Number
Data["Passport Number"] = text2[44:51]
#---Nationality
Data["Nationality"] = text2[54:57]
#----Birth Dateext2[57:59]
year_store = text2[57:59]
print(year_store)
birth_month = text2[59:61]
birth_date = text2[61:63]
if int(year_store) > 30:
year = '19' + year_store
else:
year = '20' + year_store
birth_day = birth_date + '/' + birth_month + '/' + year
Data["Date Of Birth"] = birth_day
#--Sex---
Data['Sex'] = text2[64]
#---Expiry Date-----
expiry_year = '20' + text2[65:67]
expiry_month = text2[67:69]
expiry_date = text2[69:71]
Data["Expiry Date"] = expiry_date + '/' + expiry_month + '/' + expiry_year
Data["National Number"] = text2[72:81]
return Data
def get_emirates_data(filename):
try:
cif_no = filename.split('_')[-1].split('.')[0]
except:
cif_no = str(np.random.randint(1000000, 2000000))
img = cv2.imread(filename)
apply_ocr(filename)
text = pytesseract.image_to_string(Image.open(filename), 'ara+eng')
with open('textfile.txt', 'w') as file:
file.writelines(text)
time.sleep(0.5)
content = file_process('textfile.txt')
print(content)
for line in content:
if "Name" in line:
name_index = content.index(line)
if "Nationality" in line:
nat_index = content.index(line)
arabic_name_index = name_index - 1
arabic_name = content[arabic_name_index]
index_arabic_name = arabic_name.find(':')
name_in_arabic = arabic_name[index_arabic_name + 1:]
arabic_nationality_index = nat_index - 1
arabic_nationality = content[arabic_nationality_index]
index_arabic_nationality = arabic_nationality.find(':')
nationality_in_arabic = arabic_nationality[index_arabic_nationality + 1:]
'''
df = pd.read_csv('eng.tsv', sep='\t')
df=df[df.text != ' ']
df = df.dropna()
footer = df[df.block_num == df.block_num.max()]
footer_coords = [(footer.iloc[0].left-20, footer.iloc[0].top-20), (footer.iloc[-1].left+footer.iloc[-1].width+20, footer.iloc[-1].top+footer.iloc[-1].height+20)]
print(footer_coords)
img2=img[footer_coords[0][1]:footer_coords[1][1],footer_coords[0][0]:footer_coords[1][0]]
# cv2.imshow('cut',img2)
# cv2.waitKey()
cv2.imwrite("results.png",img2)
time.sleep(1)
a=Image.open("results.png")
text=pytesseract.image_to_string(a)
text=text.replace(" ",'')
text2=text.replace('\n','')
'''
text2 = file_handler(filename)
print(text2)
Data = {
'type': 'emirates_id',
'name': None,
'card_no': None,
'emirates_id': None,
'birth_date': None,
'expiry_date': None,
'nationality': None,
'sex': None,
'cif_no': cif_no,
'arabic_name': None,
'nationality(arabic)': None
}
Data['card_no'] = text2[5:14]
Data['emirates_id'] = text2[15:30]
year_store = text2[30:32]
birth_month = text2[32:34]
birth_date = text2[34:36]
if int(year_store) > 30:
year = '19' + year_store
else:
year = '20' + year_store
birth_day = birth_date + '/' + birth_month + '/' + year
Data["birth_date"] = birth_day
Data['sex'] = text2[37]
expiry_year = '20' + text2[38:40]
expiry_month = text2[40:42]
expiry_date = text2[42:44]
Data["expiry_date"] = expiry_date + '/' + expiry_month + '/' + expiry_year
Data["nationality"] = text2[45:48]
last_line = text2[60:]
index = last_line.find('<')
last_name = last_line[0:index]
next_string = last_line[index + 2:]
index2 = next_string.find('<')
first_name = next_string[0:index2]
last_string = last_line[index + 2 + index2 + 1:]
index3 = last_string.find('<')
middle_name = last_string[0:index3]
name = first_name + ' ' + middle_name + ' ' + last_name
Data['name'] = name
# print(Data)
return Data
def indianpassport(filename):
text2 = file_handler(filename)
text2 = list(text2)
#print(len(text2))
if len(text2) > 88:
del text2[40:40 + len(text2) - 88]
if len(text2) < 88:
text2.insert(41, "<")
print(len(text2))
text2 = "".join(text2)
print(text2)
Data = {
'Name': None,
'Passport Number': None,
'ID Number': None,
'Date Of Birth': None,
'Expiry Date': None,
'Nationality': None,
'Sex': None
}
'''text=pytesseract.image_to_string(img2)
text=text.replace(" ",'')
text2=text.replace('\n','')
'''
#----Name----=
name_string = text2[5:]
index = name_string.find('<')
name1 = name_string[0:index]
forward_string = name_string[index + 2:]
index2 = forward_string.find('<')
name2 = forward_string[0:index2]
final_string = forward_string[index2 + 1:]
index3 = final_string.find('<')
name3 = final_string[0:index3]
Data["Name"] = name1 + " " + name2 + " " + name3
#----Passport Number
Data["Passport Number"] = text2[44:52]
#---Nationality
Data["Nationality"] = text2[54:57]
#----Birth Date
year_store = text2[57:59]
birth_month = text2[59:61]
birth_date = text2[61:63]
if int(year_store) > 30:
year = '19' + year_store
else:
year = '20' + year_store
birth_day = birth_date + '/' + birth_month + '/' + year
Data["Date Of Birth"] = birth_day
#--Sex---
Data['Sex'] = text2[64]
#---Expiry Date-----
expiry_year = '20' + text2[65:67]
expiry_month = text2[67:69]
expiry_date = text2[69:71]
Data["Expiry Date"] = expiry_date + '/' + expiry_month + '/' + expiry_year
return Data