3D Liveness Detection: Key to Well-Authorized Biometric Facial Recognition

Over the last few years, biometric recognition has become crucial due to a significant rise in fraudulent activities in the identity verification (IDV) process. Biometric recognition refers to an automated system used to verify people based on their human traits. However, technological advancements have allowed hackers to create duplicate biometric identities easily. The rising threat of account takeovers, phishing and spoofing attacks led to a dire need for a more specific verification process.

A more particular approach to biometric recognition is the addition of 3D liveness detection. This technologically advanced feature allows systems to detect the human’s biological dimensions more accurately. 3D liveness detection can be done actively and passively. Active liveness detection asks users to perform tasks that can’t be replicated, whereas passive liveness detection detects spoofing activities. In 2023, advanced biometric verification technology was seen as a significant component as it caused the digital identity market to be valued at $34.5 billion.  

Methods of 3D Liveness Check

Following are some of the commonly used methods of 3D liveness detection that allow biometric verification systems to detect and overcome spoofing attacks:

●       Motion Analysis

This method of online face detection tracks and analyzes all micro and full-body movements of the person. This feature asks the person to verify their presence through eye blinking, head movements, and varying facial expressions, which can’t be replicated because they do these movements naturally.

●       Texture Analysis

Texture analysis tracks and analyzes the minor texture details of human skin by differentiating it from other non-living textures, such as artificial facial features. Natural human skin is prompted to have specific textures and patterns that artificial things can’t replicate.

●       Machine Learning AI Analysis

The machine learning analysis of liveness detection uses artificial intelligence to compare pre-registered algorithms with live samples. This feature also ensures that any change happening in the human face, such as the appearance of a facial scar or hair, is recorded and analyzed.

Why is 3D Face Detection Crucial?

3D face liveness detection is very crucial for biometric verification because of the following reasons:

●       Advanced security

In the era of biometric verification, face liveness detection serves as an additional shield of protection from scammers, making these verification systems more authentic and reliable. This feature ensures that the verification system is purified of any fake identity. Through research, the market of liveness detection is expected to reach a share of $19.3 billion by 2023.

●       Fraud Detection

Online 3D face verification helps extract various attacks, including spoofing, phishing attacks, and account takeovers. This feature authorizes the live data by ensuring it belongs to a human, protecting it from scammers. 

●       Encouraging Customer’s Trust

Customers are more likely to choose a security system that is more reliable and secure from software fraud. 3D detection can strengthen the biometric verification system, making it more convenient and customer-friendly.

Challenges in Non-3D Verification Systems

Before 3D facial detection systems emerged, non-3D or 2D recognition systems faced several verification challenges. One of the many challenges is the variation in poses of 2D images. These systems could not detect large rotational angles of facial poses, resulting in poor verification results. Variations in light intensity also caused challenges as some images could be over- and under-exposed. Light equalization techniques were needed for such problems, which were later introduced by the arrival of 3D liveness detection systems.

Another issue related to variation in facial expression and aging was observed. They were unable to detect expressions and images in which objects were present. Identifying similar faces was also quite tricky. Dense optical flow and motion detection are needed to solve these issues that are available in 3D face detection and recognition systems. 3D liveness detection can help businesses grow significantly and promote their services with updated verification procedures.

Applications of 3D Detection In Different Industries

3D face detection has the potential to be incorporated into various industries. Some of the few industries that can benefit from this feature are as follows:

●       Finance Industry

The finance industry can incorporate face check ID in addition to biometric verification to improve the security of financial transactions through ATMs and authentication of the person using the financial service for transactions.

●       Healthcare Industry

In healthcare, liveness detection can be very convenient for monitoring patients during appointments. This feature can enhance the patient’s security by recognizing the medical records.

●       Retail Industry

Liveness detection can be important in the retail sector because it can be used to monitor the purchase of age-restricted items.

Summing Up

3D liveness detection can be essential for many sectors because it backs up the biometric verification system with much security and protection. This feature is reliable because it can detect fraud, provide enhanced security, and build greater customer trust. Businesses can use these services to optimize their operations and promote smooth biometric verification procedures to their customers.

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