search
HomeBackend DevelopmentPHP TutorialPHP implements face recognition function

With the continuous development and popularization of artificial intelligence, face recognition technology has become an indispensable technology in many fields. Facial recognition technology is widely used in various industries such as security, education, finance, and medical care. Today we will discuss how to implement face recognition function in PHP.

Currently face recognition technology mainly achieves recognition through deep learning algorithms. The core of deep learning is neural network, and convolutional neural network (CNN) is one of the most commonly used models in face recognition. Although PHP is not a mainstream language in the field of artificial intelligence, the face recognition function can also be implemented with the help of existing third-party libraries.

To implement face recognition function in PHP, the following steps are required:

1. Install OpenCV

OpenCV is a cross-platform computer vision library that allows development Researchers build image processing and computer vision applications on a variety of platforms. Using OpenCV in PHP can complete basic operations such as image reading, processing, display, and face detection. We can use the command line tool apt-get or brew to install OpenCV.

2. Download and install the php-opencv extension

php-opencv is a PHP extension for OpenCV. It provides a set of PHP APIs that can be used to call OpenCV functions in PHP. We can install the php-opencv extension through the following command:

$ git clone https://github.com/hihozhou/php-opencv.git
$ cd php-opencv
$ phpize
$ ./configure --with-php-config=/usr/bin/php-config
$ make
$ sudo make install

3. Image reading and output

In PHP, we can use the imread() function to load an image and use The imwrite() function saves the processed image. The following is a simple example:

$im = cvimread("test.jpg");
cvimwrite("result.jpg", $im);

4. Face detection

In OpenCV, face detection can be achieved through the Haar feature classifier. Haar feature classifier is a feature-based object detection method that can effectively detect objects such as faces. OpenCV already provides trained Haar Cascade classifiers, and we can directly call these classifiers for face detection.

$im = cvimread("test.jpg");
$gray = cvcvtColor($im, cvCOLOR_BGR2GRAY);
$faces = cvHaarDetectObjects($gray, $cascade, $storage,1.1, 3, 0);
foreach ($faces as $face) {
    $pt1 = $face['x'];
    $pt2 = $face['y'];
    $pt3 = $face['x'] + $face['width'];
    $pt4 = $face['y'] + $face['height'];
    cvectangle($im, cvPoint($pt1, $pt2), cvPoint($pt3, $pt4), [0,255,0]);
}
cvimshow("result", $im);
cvwaitKey();

5. Face recognition

Based on face detection, we can achieve face recognition through deep learning algorithms. Here we choose Caffe as the deep learning framework. Since Caffe is developed based on C, we need to call Caffe's API in PHP.

$im = cvimread("test.jpg");
$gray = cvcvtColor($im, cvCOLOR_BGR2GRAY);
$faces = cvHaarDetectObjects($gray, $cascade, $storage,1.1, 3, 0);
foreach ($faces as $face) {
    $pt1 = $face['x'];
    $pt2 = $face['y'];
    $pt3 = $face['x'] + $face['width'];
    $pt4 = $face['y'] + $face['height'];
    cvectangle($im, cvPoint($pt1, $pt2), cvPoint($pt3, $pt4), [0,255,0]);
    // 将人脸区域提取出来,用于人脸识别
    $face_roi = $im->roi(new cvRect($pt1, $pt2, $face['width'], $face['height']));
    // 对人脸进行识别
    $result = classify($face_roi); // 使用Caffe识别人脸
    // 标注识别结果
    cvputText($im,"".$result, cvPoint($pt1,$pt2-20), cvFONT_HERSHEY_SIMPLEX,0.8, [255,255,255]);
}
cvimshow("result", $im);
cvwaitKey();

6. Conclusion

Through the above steps, we can implement basic face recognition functions in PHP, which can not only detect faces, but also perform face recognition. Of course, since PHP is not a mainstream language in the field of artificial intelligence, and the deep learning frameworks it supports are relatively limited, implementation is relatively complex and not as efficient as professional languages. However, in some scenarios and for some special needs, it still makes sense to implement face recognition in PHP.

The above is the detailed content of PHP implements face recognition function. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
What is the full form of PHP?What is the full form of PHP?Apr 28, 2025 pm 04:58 PM

The article discusses PHP, detailing its full form, main uses in web development, comparison with Python and Java, and its ease of learning for beginners.

How does PHP handle form data?How does PHP handle form data?Apr 28, 2025 pm 04:57 PM

PHP handles form data using $\_POST and $\_GET superglobals, with security ensured through validation, sanitization, and secure database interactions.

What is the difference between PHP and ASP.NET?What is the difference between PHP and ASP.NET?Apr 28, 2025 pm 04:56 PM

The article compares PHP and ASP.NET, focusing on their suitability for large-scale web applications, performance differences, and security features. Both are viable for large projects, but PHP is open-source and platform-independent, while ASP.NET,

Is PHP a case-sensitive language?Is PHP a case-sensitive language?Apr 28, 2025 pm 04:55 PM

PHP's case sensitivity varies: functions are insensitive, while variables and classes are sensitive. Best practices include consistent naming and using case-insensitive functions for comparisons.

How do you redirect a page in PHP?How do you redirect a page in PHP?Apr 28, 2025 pm 04:54 PM

The article discusses various methods for page redirection in PHP, focusing on the header() function and addressing common issues like "headers already sent" errors.

Explain type hinting in PHPExplain type hinting in PHPApr 28, 2025 pm 04:52 PM

Article discusses type hinting in PHP, a feature for specifying expected data types in functions. Main issue is improving code quality and readability through type enforcement.

What is PDO in PHP?What is PDO in PHP?Apr 28, 2025 pm 04:51 PM

The article discusses PHP Data Objects (PDO), an extension for database access in PHP. It highlights PDO's role in enhancing security through prepared statements and its benefits over MySQLi, including database abstraction and better error handling.

How to create API in PHP?How to create API in PHP?Apr 28, 2025 pm 04:50 PM

Article discusses creating and securing PHP APIs, detailing steps from endpoint definition to performance optimization using frameworks like Laravel and best security practices.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!