Biometric Face Scanning: A Solution to Mitigate Identity Theft and Fraud

It is the time of the digital revolution, businesses are now on board. Where the organization has benefited from technologies, the ratio of crimes such as identity theft, fraud, and financial terrorism has also increased. Face scanning is the solution to eradicate every kind of risk while having customers on board. Face scanners are used to recognize a person’s identity. It identifies human faces through biometrics or mapping face prints from captured images or videos with databases to find a match. 

What is Biometric Face Scanning?

Biometric face scanning is a way of verifying a person’s identity with the help of biological facial features. There are around 80 facial nodes on a human face, which are used as face prints to determine a person’s identity. Every individual possesses unique facial traits such as skin color, the shape and size of the nose, the distance between the forehead and chin, the distance between the eyebrows, the contour of the chin, lips, etc. These features are stored in the database and matched for verification. Biometric face scanners use advanced Artificial Intelligence (AI) and Machine Learning (ML) models to verify customers’ identities. Biometric face scanner provides security to fight against fraudsters and financial terrorism as it allows only authorized customers to be on board.

How Does a Biometric Face Scanner Work?

Facial recognition with the help of face scanners is mainly processed in the following manners:

   1. Facial Detection

It is the process of detecting a human face from an image or video. A person can stand in front of a camera, and the image is captured. ML algorithms working behind scanners are very efficient and sharp in detecting a face individually or even in a crowd. All the facial nodes are captured instantly for the next processing.

2. Conversion 

All the captured facial nodes are in the form of analog data, they are required to be converted to digital form for verification. Using complex AI technology, all the features of facial geometry are stored in the form of face prints.  

3.  Analysis

The facial recognition scanner analyzes the image of the face. It maps and reads face geometry and facial expressions. It recognizes facial points that are key to distinguishing a face from other objects. Facial recognition technology typically looks for the following:

  • Space between the eyes
  • Distance between the  forehead and the chin
  •  Eye sockets depth
  • Contour of the cheekbones
  • Shape of the lips, ears, and chin

The system then finally converts the face distinction data into a series of digits called faceprints. Each person has a distinctive faceprint, similar to a fingerprint. The information used by facial scanners can also be used in reversal to rebuild someone’s face digitally.

4. Recognition

A face scanner can identify a person by analogizing the faces in two or more images and assessing the possibility of a face match. It ensures that the face shown in an image captured by the camera matches the face in an image of a government-issued ID.  Additionally, it verifies that the face shown in the selfie does not match a face in a collection of faces previously captured.

Other Kinds of Biometric Identification Technology

Biometric identification involves the recognition of biological traits for identity verification. Other than facial verification, the following are some other kinds of biometric verification: 

  • DNA Matching

DNA segments are analyzed and compared with the database. This technology is used to specify a person’s identity.  

  • Fingerprint verification

Fingerprint recognition software verifies an individual’s identity by comparing their fingerprint against one or more fingerprints in a database.

  • Eye recognition

Depth of the iris or patterns of veins in the retina are analyzed to find differences from others. Thus, the identity of a person is verified. 

  • Voice recognition

Advanced voice recognition technology is being used to identify an individual’s speech. Voice recognizers extract the characteristics of speech and save them as voice prints. 

  • Signature recognition

Scanned signatures are compared and analyzed with the help of advanced AI and ML algorithms. It is also a kind of biometric identity verification. 


Biometric face id check is a digital method of identity verification with the help of advanced AI and ML models. It reduced the time and cost and verified numerous individuals in a few minutes. It involved detecting and converting facial features into digital face prints, which are used to verify an individual’s identity. Some other kinds of verification include fingerprints, DNA matching, iris depth, voice recognition, and scanned signatures verification. Face scanning technology is a helping hand to cope with this digital era to have a successful onboarding experience. Additionally, it makes the organization safe from various risks such as fraud, identity theft, and financial losses.

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