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在 JavaWeb 开发中#xff0c;一般使用 Zxing 来生成和识别二维码#xff0c;但是#xff0c;Zxing 的识别有点差强人意#xff0c;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#xff0c;识别率有了现显著提高。
对比
在没接触 Python 之前#xff…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 qrcodedef make_qr_code_easy(content, save_pathNone):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(datacontent)
if save_path:img.save(save_path)
else:img.show()
def make_qr_code(content, save_pathNone):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(version2,
error_correctionqrcode.constants.ERROR_CORRECT_M,
box_size8,
border1,
)
qr_code_maker.add_data(datacontent)
qr_code_maker.make(fitTrue)img qr_code_maker.make_image(fill_colorblack, back_colorwhite)
if save_path:img.save(save_path)
else:img.show()
def make_qr_code_with_icon(content, icon_path, save_pathNone):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(version4,
error_correctionqrcode.constants.ERROR_CORRECT_H,
box_size8,
border1,
)
qr_code_maker.add_data(datacontent)
qr_code_maker.make(fitTrue)qr_code_img qr_code_maker.make_image(fill_colorblack, back_colorwhite).convert(RGBA)
# Second, load icon image and resize iticon_img Image.open(icon_path)code_width, code_height qr_code_img.sizeicon_img icon_img.resize((code_width // 4, code_height // 4), Image.ANTIALIAS)
# Last, add the icon to original QR Codeqr_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 objectsif not os.path.exists(code_img_path):raise FileExistsError(code_img_path)
# Here, set only recognize QR Code and ignore other type of codereturn pyzbar.decode(Image.open(code_img_path), symbols[pyzbar.ZBarSymbol.QRCODE], scan_locationsTrue)
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
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。
