Home Backend Development PHP Tutorial How to use PHP and Alibaba Cloud OCR to realize handwritten signature recognition?

How to use PHP and Alibaba Cloud OCR to realize handwritten signature recognition?

Jul 17, 2023 pm 10:36 PM
php Alibaba cloud ocr Handwritten signature recognition

How to use PHP and Alibaba Cloud OCR to realize handwritten signature recognition?

With the widespread use of electronic signatures, handwritten signatures have become an indispensable part on many occasions. How to use programming technology to automate handwritten signature recognition has become the focus of many developers. This article will introduce how to use PHP and Alibaba Cloud OCR service to realize handwritten signature recognition, and provide code examples.

First, we need to obtain the API of Alibaba Cloud OCR. The specific steps are as follows:

  1. Log in to the Alibaba Cloud console, select the "Artificial Intelligence" category, and enter the "OCR" service.
  2. On the OCR service page, click the "Activate" button to activate the OCR service.
  3. On the OCR service details page, click the "View API List" button to obtain AccessKey and AccessSecret.

Next, we can use PHP to write code to pass the handwritten signature image to Alibaba Cloud OCR for recognition. The specific code is as follows:

<?php
// 引入SDK文件
require_once 'aliyun-ocr-php-sdk/Autoloader/Autoloader.php';

// 设置AccessKey和AccessSecret
$accessKeyId = 'your-access-key-id';
$accessKeySecret = 'your-access-key-secret';

// 创建OCR的Client实例
$client = new AliyunOCROCR($accessKeyId, $accessKeySecret);

// 手写签名图片路径
$imagePath = 'path-to-your-image.jpg';

// 调用手写识别接口
$result = $client->handWriting($imagePath);

// 输出识别结果
print_r($result);
Copy after login

In the above code, we create an OCR Client instance by introducing the SDK file of Alibaba Cloud OCR and setting AccessKey and AccessSecret. Then, we assign the path of the handwritten signature image to the $imagePath variable, and call the handWriting method of the $client object for handwriting recognition. Finally, we output the recognition results to the screen.

It should be noted that Alibaba Cloud OCR supports limited image formats. Currently, it only supports images in jpg, png, and bmp formats.

Through the above steps, we successfully implemented handwritten signature recognition using PHP and Alibaba Cloud OCR. Developers can conduct secondary development based on their own needs in combination with other functions to achieve more application scenarios.

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