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makebox.py
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makebox.py
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#this program performs the actual image processing and recognition
#
#Author: Buddhika De Seram
import cv2
import numpy as np
import pytesser
import cv2.cv as cv
import string
import sys
from dbfpy import dbf
from noise import *
import os
from crop import *
from check_valid import *
RED_MIN = np.array((150,100,200))
RED_MAX = np.array((160,240,255))
def detect(filename, folder, file_no):
# print 'in'
img = cv2.imread(filename)
img = cv2.medianBlur(img, 1) #smothing image
# extracting white characters
image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
imgray = crop(image)
# imgray = image
imgray = cv2.resize(imgray, (880,100))
(h,w) = imgray.shape
(img_h,img_w) = (h,w)
drawing = noise(imgray, imgray.shape, 1000, 25000)
cv2.imshow('win1', drawing)
cv2.waitKey()
cv2.imwrite('E:\Results\\res.jpg', drawing)
# character recorgnition
image = cv.LoadImage("E:\Results\\res.jpg", cv.CV_LOAD_IMAGE_GRAYSCALE)
lang = ['eng']
result = 0
for i in lang:
data = pytesser.iplimage_to_string(image, i, pytesser.PSM_SINGLE_LINE,makebox=True)
# print data
word = ''
section = [] #all the characters and coordinates in a list
line = []
for i in data:
if i == ' ' or i=='\n':
line.append(word)
word = ''
elif (i!='\n'):
word+=i
if i == '\n':
section.append(line)
line = []
coord = []
chars = [] #coordinates of the characters
count = 0
for i in section:
for j in i:
# print count
if j.isdigit() and count < 5 and count > 0:
coord.append(int(j))
count += 1
count = 0
chars.append(coord)
coord = []
# removing all symbols
dele= 0
delete=[]
for i in section:
if not i[0].isdigit() and not i[0].isalpha():
delete.append(dele)
dele += 1
delete.reverse()
for i in delete:
section.pop(i)
chars.pop(i)
c = 0
point = []
for i in chars:
cv2.rectangle(drawing,(i[0],i[1]),(i[2],i[3]),(255,255,255),2)
cv2.imshow('rec', drawing)
cv2.waitKey(1)
cv2.imwrite('E:\\report\\res.jpg', drawing)
counter = 0
line_coordinates = [0]
if len(chars) == 1:
for i in chars:
if i[0] > 400:
line_coordinates.append(i[0]/2)
line_coordinates.append(i[0])
# for debugging, draws box using coordinates received from make box function
for i in chars:
counter += 1
if c == 0:
point.append(i[2])
c = 1
elif c == 1:
point.append(i[0])
line = ((point[0] + point[1]) / 2)
line_coordinates.append(line)
cv2.line(drawing,(line,img_h),(line,0),(255,255,255),2)
c = 0
point = []
if counter == len(chars):
if img_w - i[2] < 150:
line_coordinates.append(img_w)
else:
line_coordinates.append(i[2])
line_coordinates.append(img_w)
cv2.line(drawing,(i[2],img_h),(i[2],0),(255,255,255),2)
# spliting image and processing
iterator = 1
id = ''
while iterator < len(line_coordinates):
roi = imgray[0:img_h, line_coordinates[iterator-1]:line_coordinates[iterator]]
iterator += 1
corrected = noise(roi, roi.shape, 300, 20000)
cv2.imwrite('E:\Results\\res.jpg', corrected)
cv2.imshow('win1', corrected)
cv2.waitKey(1)
image = cv.LoadImage("E:\Results\\res.jpg", cv.CV_LOAD_IMAGE_GRAYSCALE)
data = pytesser.iplimage_to_string(image, 'enm', 7 )
# print data
for i in data:
if i == '!':
i = '1'
if i.isalpha() or i.isdigit():
if i == 'O' or i =='o':
i = '0'
if i == 'L' or i == 'l':
i = '1'
if i == 'i' or i == 'I':
i = '1'
id = id + i
# print id
if id != '':
print id
sol = check(id)
final = sol[0]
alternative = sol[1]
possible = sol[2]
else:
return None
# print sol
if not final:
os.chdir(folder)
filename = 'error' + str(file_no)
img_name = filename + '.jpg'
txt_name = filename + '.txt'
cv2.imwrite(img_name, img)
if len(alternative) > 1: #storing alternatives in a text file
f = open(txt_name, 'w')
for i in alternative:
f.write(i+'\n')
f.close()
return None
else:
return possible