Reading barcodes using python

Question

I want to read barcodes in python. I searched for library that support barcode reading and also support python 2.7, but I didn't find anything. Is there any library that can help me? Also if you know any tutorial about barcode reading, please tell me where can I find that.

Answer 1

You should try using zbar and a PyUSB, scan "USB Serial"-mode barcode, then "Save" barcode to make this setting permanent. Now your 3310g is in serail emulation mode, note new /dev/ttyACM0 or /dev/ttyUSB0 device. Read serial port with simple file operations from python:

f = open('/dev/ttyACM0')
print f.read(13)

Answer 2

(Better late than never...) : Pyzbar and OpenCV should do what you want.

Here is the code I'm using with Python 3:

#!/usr/bin/python3
# -*- coding: Utf-8 -*-

from __future__ import print_function
import pyzbar.pyzbar as pyzbar
import numpy as np
import cv2

def decode(im) : 
    # Find barcodes and QR codes
    decodedObjects = pyzbar.decode(im)

    # Print results
    for obj in decodedObjects:
        print('Type : ', obj.type)
        print('Data : ', obj.data,'\n')

    return decodedObjects


# Display barcode and QR code location  
def display(im, decodedObjects):

    # Loop over all decoded objects
    for decodedObject in decodedObjects: 
        points = decodedObject.polygon

        # If the points do not form a quad, find convex hull
        if len(points) > 4 : 
            hull = cv2.convexHull(np.array([point for point in points], dtype=np.float32))
            hull = list(map(tuple, np.squeeze(hull)))
        else : 
            hull = points;

        # Number of points in the convex hull
        n = len(hull)

        # Draw the convext hull
        for j in range(0,n):
            cv2.line(im, hull[j], hull[ (j+1) % n], (255,0,0), 3)

    # Display results 
    cv2.imshow("Results", im);
    cv2.waitKey(0);


# Main 
if __name__ == '__main__':

    # Read image
    im = cv2.imread('zbar-test.jpg')

    decodedObjects = decode(im)
    display(im, decodedObjects)

You can find this code here : https://www.learnopencv.com, with explanations.