腾讯云OCR技术详解：文字识别原理与实践指南

from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.ocr.v20181119 import ocr_client, models
def main:
# 1. 初始化认证对象，填入您的 SecretId 和 SecretKey
cred = credential.Credential(“YOUR_SECRET_ID”, “YOUR_SECRET_KEY”)
# 2. 配置HTTP和客户端Profile
httpProfile = HttpProfile
httpProfile.endpoint = “ocr.tencentcloudapi.com
clientProfile = ClientProfile
clientProfile.httpProfile = httpProfile
# 3. 创建OCR客户端，指定地域（如北京）
client = ocr_client.OcrClient(cred, “ap-beijing”, clientProfile)
# 4. 创建请求对象并设置参数
req = models.GeneralBasicOCRRequest
# 这里以图片的Base64编码为例

req.ImageBase64 = “/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAABAAEDASIAAhEBAxEB/8QAFQABAQAAAAAAAAAAAAAAAAAAAAv/xAAUEAEAAAAAAAAAAAAAAAAAAAAA/8QAFQEBAQAAAAAAAAAAAAAAAAAAAAX/xAAUEQEAAAAAAAAAAAAAAAAAAAAA/9oADAMBAAIRAxEAPwCdABmX/9k=” # 请替换为真实的图片Base64编码
# 5. 发起请求并处理响应
try:
resp = client.GeneralBasicOCR(req)
# 遍历打印识别结果
for text_detection in resp.TextDetections:
print(f”识别出的文字: {text_detection.DetectedText}”)
print(f”置信度: {text_detection.Confidence}”)
except Exception as err:
print(err)
if __name__ == ‘__main__’:
main
tencentcloud-sdk-python-ocr==3.0.874
tencentcloud-sdk-python-common==3.0.874