FACE RECOGNITION SYSTEM

Face Recognition

A face recognition system is a software that identifies or confirms a person's identity using their face. This tool works by identifying and measuring facial features in an image. Face recognition can recognize human faces in pictures or videos, determine whether the face in two images belongs to the same person, or search for a specific face in a large collection of existing images. Biometric security systems use facial recognition to uniquely identify individuals at user addition or login and strengthen user authentication effectiveness. Mobile and personal devices also frequently use face analysis technology for device security.

What are the usage examples of face recognition systems?

Here are some of the practical applications of a face recognition system:

Fraud detection
Companies use facial recognition to uniquely identify users who create a new account on an online platform. Once this is done, facial recognition can be used to verify the identity of the natural person using the account if risky or suspicious account activity is detected.

Cybersecurity
Companies use facial recognition technology instead of passwords to strengthen their cybersecurity measures. Gaining unauthorized access to facial recognition systems is difficult, as nothing about your face can be changed. Facial recognition software is also a useful and highly accurate security tool for unlocking smartphones and other personal devices.

Airport and border control
Many airports use biometric data as passports, allowing passengers to skip the long queues and pass through an automated terminal to get to their gates faster. Facial recognition technology in the form of an e-passport reduces waiting times and increases security.

Banking
Individuals verify transactions by looking at their phone or computer rather than using one-time passwords or two-step verification. Facial recognition is more secure as there are no passwords that hackers can get hold of. Similarly, some ATM withdrawals and cash registers can use facial recognition to confirm payments.

Health Service
Facial recognition can also be used to access patient records. It can facilitate the patient registration process in healthcare institutions and automatically detect pain and emotion in patients

How does facial recognition work?

Face recognition works in three steps: detection, analysis and recognition.

Detection
Is the process of finding the face in an image. Face recognition enabled by computer vision can detect and identify individual faces in an image containing one or more people's faces. It can detect face data in both front and side profile.

Computer Vision
Machines use computer vision to identify people, places, and objects in images with much greater speed and efficiency, with human-level accuracy or greater accuracy. Computer vision uses sophisticated artificial intelligence (AI) technology to automate the extraction, analysis, classification, and understanding of useful information from image data. Image data is available in many formats, such as:

  • Single images
  • Video series
  • Images from multiple cameras
  • Three-dimensional data
  • Analysis

The face recognition system then analyzes the image of the face. Maps and reads facial geometry and facial expressions. Defines facial features that are important for distinguishing a face from other objects. Facial recognition technology usually examines

  • The distance between eyes
  • Distance from forehead to chin
  • Distance between nose and mouth
  • Depth of eye sockets
  • The shape of the cheekbones
  • Lip, ear and chin contour

The system then converts the facial recognition data into a series of numbers or dots called a face registration. Everyone has a facial record similar to a fingerprint. The information used by face recognition can also be used in reverse to reconstruct a person's face digitally.

Recognition
Face recognition can recognize a person by comparing faces in two or more images and evaluating the probability of a face match. For example, it can verify that the face that appears in a selfie taken by the cell phone camera matches the face in the image of an official ID such as a driver's license or passport and that the face that appears in the selfie does not match the faces in the collection of previously taken facial images.

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