Python-条形码和二维码识别

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Python-条形码和二维码识别

pyzbar

安装依赖

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pip install pyzbar
pip install Pillow

Pillow读取识别

识别代码

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from PIL import Image
from pyzbar.pyzbar import decode


def read_barcode(image_path):
    image = Image.open(image_path)
    # 将图像转换为灰度图像（如果需要）
    image = image.convert("L")
    barcodes = decode(image)
    print(f"Found {len(barcodes)} barcodes!")
    for barcode in barcodes:
        print(f"Type: {barcode.type}")
        barcode_data = barcode.data.decode("utf-8")
        print(f"Data: {barcode_data}")


read_barcode(r"D:\ImageRes\img001.png")

以下的是可以识别的

img001

img002

但是码和数字中间没有分割的识别会有问题

image-20250208115119531

OpenCV读取识别

加载图片

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def read_img(filename, mode=cv2.IMREAD_COLOR):
  # 先用numpy把图片文件存入内存：raw_data，把图片数据看做是纯字节数据
  raw_data = np.fromfile(filename, dtype=np.uint8)
  img = cv2.imdecode(raw_data, mode)  # 从内存数据读入图片
  return img

OpenCV加载图片后数据格式为numpy.ndarray

也是可以直接传入的

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import cv2
import numpy as np
from pyzbar.pyzbar import decode


def read_img(filename, mode=cv2.IMREAD_COLOR):
    # 先用numpy把图片文件存入内存：raw_data，把图片数据看做是纯字节数据
    raw_data = np.fromfile(filename, dtype=np.uint8)
    img = cv2.imdecode(raw_data, mode)  # 从内存数据读入图片
    return img


def read_barcode(image_path):
    image = read_img(image_path)
    barcodes = decode(image)
    print(f"Found {len(barcodes)} barcodes!")
    for barcode in barcodes:
        print(f"Type: {barcode.type}")
        barcode_data = barcode.data.decode("utf-8")
        print(f"Data: {barcode_data}")


read_barcode(r"D:\ImageRes\img001.png")

工具类

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import numpy as np
from pyzbar.pyzbar import decode


def read_barcode(image: np.ndarray) -> str:
    barcodes = decode(image)
    if len(barcodes) > 0:
        return barcodes[0].data.decode("utf-8")
    else:
        return ""