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How to Make a Barcode Reader in Python?

  • Last Updated : 07 Sep, 2021
Geek Week

Barcode represents data in graphical representation and machine-readable. For making Barcode Reader in Python we are using pyzbar library. Using pyzbar we can decode the one-dimensional barcode and QR-code. 

This pyzbar can return 3 fields based on the barcode object:

  • Type: There are several kinds of barcodes are available. Which are differentiated by unique code names like CODE-128, Code-11, CODE-39, etc. If the symbol detected by pyzabr then is QRcode for that type is QR-CODE.
  • Data: This is data that is embedded inside the barcode. This data is of various kinds ( alphanumerical, numerical, binary, etc..) depending upon the type of barcode.
  • Location: This is the collection of points that are located in the code. For barcodes, these points are starting and ending line boundaries. and for QRcode, it is a list of four points corresponding to the four corners of the QR code quad.

For installation:

pip install pyzbar

pyzbar Provides the rect method to locate the barcode in the image. Rect stands for a rectangle that will give you the coordinates of the barcode. We can also decode the multiple barcodes included in one image. Using the following steps we are going to make a barcode recorder. (ensure that you are having both libraries installed)


  • Import cv2.
  • Import decode function from pyzbar.
  • Take the image from the user.
  • Decode that image using pyzbar
  • Locate the barcode in the given Image
  • Print the data and type of image
  • Display located barcode.

Below is the Implementation


# Importing library
import cv2
from pyzbar.pyzbar import decode
# Make one method to decode the barcode
def BarcodeReader(image):
    # read the image in numpy array using cv2
    img = cv2.imread(image)
    # Decode the barcode image
    detectedBarcodes = decode(img)
    # If not detected then print the message
    if not detectedBarcodes:
        print("Barcode Not Detected or your barcode is blank/corrupted!")
          # Traverse through all the detected barcodes in image
        for barcode in detectedBarcodes: 
            # Locate the barcode position in image
            (x, y, w, h) = barcode.rect
            # Put the rectangle in image using
            # cv2 to heighlight the barcode
            cv2.rectangle(img, (x-10, y-10),
                          (x + w+10, y + h+10),
                          (255, 0, 0), 2)
            # Print the barcode data
    #Display the image
    cv2.imshow("Image", img)
if __name__ == "__main__":
  # Take the image from user



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