Python生成与识别二维码实战：Zxing与Zbar对比

雨后青山

发布时间：2026-10-14| 5人浏览过

原创

本文通过Python实例详解二维码的生成与识别过程，对比JavaWeb中常用的Zxing库与Zbar库在模糊二维码场景下的表现。测试结果显示，虽然Zbar速度较快，但Zxing最新版本的识别率显著提升，且能处理部分Zbar无法识别的模糊图片。

前言与背景

前言

在JavaWeb开发领域，通常采用Zxing库来实现二维码的生成与识别功能。然而，以往的经验表明，Zxing对于某些图像的识别效果并不理想，尤其是面对相对模糊的二维码时，其识别率往往较低。不过，根据最新版本的测试数据来看，其识别准确率已经有了较为明显的提升。

Zxing与Zbar性能对比

对比分析

在接触Python之前，曾使用Zbar客户端进行识别测试。对数百张相对模糊的图片进行测试后发现，Zbar的识别速度明显快于其他工具，且识别精度略高于Zxing。但是，当图片模糊程度稍高时，Zbar便难以完成识别。相比之下，微信和支付宝等主流应用的识别效果则显得尤为出色。

Python二维码生成与识别实战

代码案例


# -*- coding:utf-8 -*-
import os
import qrcode
import time
from PIL import Image
from pyzbar import pyzbar

"""
# 升级 pip 并安装第三方库
pip install -U pip
pip install Pillow
pip install pyzbar
pip install qrcode
"""


def make_qr_code_easy(content, save_path=None):
  """
  Generate QR Code by default
  :param content: The content encoded in QR Codeparams
  :param save_path: The path where the generated QR Code image will be saved in.
           If the path is not given the image will be opened by default.
  """
  img = qrcode.make(data=content)
  if save_path:
    img.save(save_path)
  else:
    img.show()


def make_qr_code(content, save_path=None):
  """
  Generate QR Code by given params
  :param content: The content encoded in QR Code
  :param save_path: The path where the generated QR Code image will be saved in.
           If the path is not given the image will be opened by default.
  """
  qr_code_maker = qrcode.QRCode(version=2,
                 error_correction=qrcode.constants.ERROR_CORRECT_M,
                 box_size=8,
                 border=1,
                 )
  qr_code_maker.add_data(data=content)
  qr_code_maker.make(fit=True)
  img = qr_code_maker.make_image(fill_color="black", back_color="white")
  if save_path:
    img.save(save_path)
  else:
    img.show()


def make_qr_code_with_icon(content, icon_path, save_path=None):
  """
  Generate QR Code with an icon in the center
  :param content: The content encoded in QR Code
  :param icon_path: The path of icon image
  :param save_path: The path where the generated QR Code image will be saved in.
           If the path is not given the image will be opened by default.
  :exception FileExistsError: If the given icon_path is not exist.
                This error will be raised.
  :return:
  """
  if not os.path.exists(icon_path):
    raise FileExistsError(icon_path)

  # First, generate an usual QR Code image
  qr_code_maker = qrcode.QRCode(version=4,
                 error_correction=qrcode.constants.ERROR_CORRECT_H,
                 box_size=8,
                 border=1,
                 )
  qr_code_maker.add_data(data=content)
  qr_code_maker.make(fit=True)
  qr_code_img = qr_code_maker.make_image(fill_color="black", back_color="white").convert('RGBA')

  # Second, load icon image and resize it
  icon_img = Image.open(icon_path)
  code_width, code_height = qr_code_img.size
  icon_img = icon_img.resize((code_width // 4, code_height // 4), Image.ANTIALIAS)

  # Last, add the icon to original QR Code
  qr_code_img.paste(icon_img, (code_width * 3 // 8, code_width * 3 // 8))

  if save_path:
    qr_code_img.save(save_path)
  else:
    qr_code_img.show()


def decode_qr_code(code_img_path):
  """
  Decode the given QR Code image, and return the content
  :param code_img_path: The path of QR Code image.
  :exception FileExistsError: If the given code_img_path is not exist.
                This error will be raised.
  :return: The list of decoded objects
  """
  if not os.path.exists(code_img_path):
    raise FileExistsError(code_img_path)

  # Here, set only recognize QR Code and ignore other type of code
  return pyzbar.decode(Image.open(code_img_path), symbols=[pyzbar.ZBarSymbol.QRCODE], scan_locations=True)


if __name__ == "__main__":

  # # 简易版
  # make_qr_code_easy("make_qr_code_easy", "make_qr_code_easy.png")
  # results = decode_qr_code("make_qr_code_easy.png")
  # if len(results):
  #   print(results[0].data.decode("utf-8"))
  # else:
  #   print("Can not recognize.")
  #
  # # 参数版
  # make_qr_code("make_qr_code", "make_qr_code.png")
  # results = decode_qr_code("make_qr_code.png")
  # if len(results):
  #   print(results[0].data.decode("utf-8"))
  # else:
  #   print("Can not recognize.")
  #
  # 带中间 logo 的
  # make_qr_code_with_icon("https://blog.52itstyle.vip", "icon.jpg", "make_qr_code_with_icon.png")
  # results = decode_qr_code("make_qr_code_with_icon.png")
  # if len(results):
  #   print(results[0].data.decode("utf-8"))
  # else:
  #   print("Can not recognize.")

  # 识别答题卡二维码 16 识别失败
  t1 = time.time()
  count = 0
  for i in range(1, 33):
    results = decode_qr_code(os.getcwd()+"\\img\\"+str(i)+".png")
    if len(results):
      print(results[0].data.decode("utf-8"))
    else:
      print("Can not recognize.")
      count += 1
  t2 = time.time()
  print("识别失败数量:" + str(count))
  print("测试时间:" + str(int(round(t2 * 1000))-int(round(t1 * 1000))))

本次测试选取了32张经过精心挑选的模糊二维码图片进行验证：