这篇文章主要介绍了Python二维码生成识别实例详解,文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
前言
在 JavaWeb 开发中，一般使用 Zxing 来生成和识别二维码，但是，Zxing 的识别有点差强人意，不少相对模糊的二维码识别率很低。不过就最新版本的测试来说，识别率有了现显著提高。
对比
在没接触 Python 之前，曾使用 Zbar 的客户端进行识别，测了大概几百张相对模糊的图片，Zbar的识别速度要快很多，识别率也比 Zxing 稍微准确那边一丢丢，但是，稍微模糊一点就无法识别。相比之下，微信和支付宝的识别效果就逆天了。
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))))
测试了32张精挑细选的模糊二维码：
识别失败数量:1 测试时间:130
使用最新版的 Zxing 识别失败了三张。
源码
https://gitee.com/52itstyle/Python/tree/master/Day13
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。
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