Since this python face detection biometric system and CBSE facial recognition application can be used in almost any project where users need to be identified.
Well, you can use the face recognition attendance system using raspberry pi 3 to find a person in a crowd. To do this, you must install some python libraries and then use a face recognition system using OpenCV. The result is straightforward: just run this simple python program, and you will see the faces of all people in a photo taken by a camera on the screen.
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Need for Facial Recognition
Nowadays, face recognition is getting more popular because of its numerous benefits and gaining popularity very fast. As a result, many people are trying to develop their software to use the same. Also, people will pay colossal attention when they see a pretty face. Yet, many websites out there use face recognition techniques to recognize visitors’ faces.
In this blog, I will give you some simple methods you can use to build your system to recognize faces.
Let’s find out:
Face Recognition System
However, the Face Recognition System is a technology based on the use of facial features, which are used for identification and verification purposes. This system generally includes several facial features such as eyes, nose, cheeks, mouth, etc.
1. Active Face Recognition System
Yet, this type of system is based on face recognition, and the camera records the images of the identified person. The process of capturing the image takes a short time, allowing the system to work in any lighting condition.
2. Passive Face Recognition
Additionally, this type of system is based on the collection of images of the face and the face information in those images. Therefore, the main aim of this system is to store a database of images, and the person to be identified is searched in this database.
Basics of Face Detection & Recognition
Face detection means detecting the location of the face in an image and estimating its size and position. Face recognition means recognizing the faces of the people who visit your website.
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Develop a Face Recognition System Using Python
First of all, you need to prepare a photo of the person and convert it into a suitable format. Once you have the image, you can easily detect and recognize the person’s facial features. Now it is your turn to implement the face recognition system in Python.
I will use the OpenCV library for face detection and Tesseract OCR for face recognition.
Here are some of the basic steps that are required to build a face recognition system:
Step 1
Load the image that contains the face
Step 2:
Read the image and get the image dimensions
Step 3:
Find the face region by applying the Haar Cascade classifier
Step 4:
Read the bounding box of the detected face and draw the bounding box around the face.
Step 5:
Convert the image into a file
Step 6:
Use the Tesseract OCR read the file
Step 7:
Extract the text of the image and get the name of the person
Conclusion
In conclusion, a face recognition system is a computer program that identifies an individual based on visual features (for example, eyes, nose, and mouth) in an image of his/her face. It can be helpful in many fields, such as security, education, health care, law enforcement, etc. We will use a Face Detection API to identify faces in images. Then, we will use the face details to find out some information.
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FAQ
How does this project differ from other face recognition systems?
This project is different from other face recognition systems because we use a machine learning algorithm to train the system. In addition, we use a neural network to train the system to recognize faces better.
What is the difference between face recognition and face identification systems?
The difference between the face recognition system and the face identification system is that the face recognition system can recognize a person’s facial expression. Still, the face identification system can identify the face of a person.
How to get the data?
To get the data, we need to have pictures of the people. This can be obtained from the pictures taken by the surveillance cameras or the pictures taken by the user’s mobile phone.
How do you develop the face recognition system?
The first thing to develop the face recognition system is to make a database of a person’s face. Then, the second thing is to extract the features of the face. After that, the third thing is to train and test the system.
What are the different types of face recognition systems?
There are three different types of face recognition systems. One is template matching, the second is the neural network, and the third is the support vector machine.
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