reckey.py

import cv2
import imutils
import numpy as np
import pytesseract
from PIL import Image
from picamera.array import PiRGBArray
from picamera import PiCamera
camera = PiCamera()
camera.resolution = (640, 480)
camera.framerate = 30
rawCapture = PiRGBArray(camera, size=(640, 480))
for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
        image = frame.array
        cv2.imshow("Frame", image)
        key = cv2.waitKey(1) & 0xFF
        rawCapture.truncate(0)
        if key == ord("s"):
             gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) #convert to grey scale
             gray = cv2.bilateralFilter(gray, 11, 17, 17) #Blur to reduce noise
             edged = cv2.Canny(gray, 30, 200) #Perform Edge detection
             cnts = cv2.findContours(edged.copy(), cv2.RETR_TREE,              cv2.CHAIN_APPROX_SIMPLE)
             cnts = imutils.grab_contours(cnts)
             cnts = sorted(cnts, key = cv2.contourArea, reverse = True)[:10]
             screenCnt = None
             for c in cnts:
                peri = cv2.arcLength(c, True)
                approx = cv2.approxPolyDP(c, 0.018 * peri, True)
                if len(approx) == 4:
                  screenCnt = approx
                  break
             if screenCnt is None:
               detected = 0
               print ("No contour detected")
             else:
               detected = 1
             if detected == 1:
               cv2.drawContours(image, [screenCnt], -1, (0, 255, 0), 3)
             mask = np.zeros(gray.shape,np.uint8)
             new_image = cv2.drawContours(mask,[screenCnt],0,255,-1,)
             new_image = cv2.bitwise_and(image,image,mask=mask)
             (x, y) = np.where(mask == 255)
             (topx, topy) = (np.min(x), np.min(y))
             (bottomx, bottomy) = (np.max(x), np.max(y))
             Cropped = gray[topx:bottomx+1, topy:bottomy+1]
             text = pytesseract.image_to_string(Cropped, config='--psm 11')
             print("Detected Number is:",text)
             cv2.imshow("Frame", image)
             cv2.imshow('Cropped',Cropped)
             cv2.waitKey(0)
             break
cv2.destroyAllWindows()