Government documents or benefits fraud tops the list of identity theft classified with 395,948 reported cases. The increasing advancement in the ever-evolving digital era raises the risk of identity and document fraud. People steal identities and forge documents for their own benefit and to obtain them unauthorizedly.
To dehort these premises, robust face recognition verification is considered to be the most optimal solution in deterring fraud. It is a biometric approach and a standardized AI-based process for recognizing individuals and ascertaining their access to sensitive data.
This blog will delve into the use cases and essential factors of face recognition verification to identify how it can reduce the rising threats.
Key Features of the Article
- Comprehending the concept of facial recognition verification
- What is face liveness verification?
- The process of biometric face recognition
- Face recognition solutions for different Industries
- Face recognition services for deterring identity fraud
What is Facial Recognition Verification?
Face recognition is a technological advancement that identifies faces from video or images by first detecting them. The technology solely depends on artificial intelligence (AI) and machine learning (ML), which can organize data and operate the verification process. There is a gigantic database of human faces that is available in the digital system, and the inputs are compared with the dataset in an organized way to determine the countenances.
It is stated that face recognition is less accurate than fingerprint scanners but is more preferred because of its contactless nature. However, it was way before the cameras were not that efficient, and the early prototype of the face recognition scanners was just made to implement the technology and adapt it to different organizations. Face recognition is fast, secure, and more convenient now than any other biometric verification.
How is Face Liveness Verification Different From Face Recognition Verification?
Face recognition verification detects the human countenances in a still image or still from a video and then verifies them. While the face liveness verification determines that it is the real human face and is detected in real-time rather than a video shot before or is an image against the camera.
It is often seen when the users are required to verify their identities digitally and ensure the organizations are legitimate and what they claim to be. Thus, to fool the system, the fraudsters put a still picture on the camera or the screen to get verified for the stolen identity. To counter this issue, there are websites that offer services for face liveness verification to ensure that the person is alive and the process is not spoofed.
How Biometric Face Recognition Works?
Face recognition verification is primarily of two types, either AI face recognition or biometric face recognition. In biometric face recognition, the system does not employ AI much and relies predominantly on the biometric templates to identify the person. The process for biometric face recognition Is as follows:
Image Capture: The initial step of biometric face recognition is capturing or acquiring a digital image of a person’s face.
Face Detection: This requires identifying and locating the face within the image.
Feature Extraction: The next step is extracting facial features and converting them into a numerical representation.
Template Creation: The numerical feature extraction then generates a unique facial template known as a biometric template.
Face Matching: Then, it compares the captured face template with the templates stored in the database to identify the best possible results.
Verification/Identification: In the Final step the system confirms the person’s identity by finding a match or identifying the person from the database and provides accurate and prompt results.
Database Storage: If the finds data is new, then it stores the created template in a secure database for future reference.
Industries That Can Implement Face Recognition Solution
Face recognition verification is now essential for most of organizations to ensure the following:
- Healthcare
- Security and Surveillance
- Banking and Financial Services
- Education
- Retail
- Hospitality
- Transportation
- Government Services
- Law Enforcement
- Entertainment and Media
Face Recognition Services For Detering Identity Fraud
Face recognition services use progressive biometric technology to ascertain identities that reduces the risk of unauthorized access and fraudulent activities. Incorporating face recognition in various sectors enhances security, streamlines authentication processes, and strengthens them against identity theft. As the technology grows, its preciseness and efficiency in deterring fraudulent endeavors will improve, which will make it an indispensable tool in the fight against identity fraud.
Final Statement
Robust face recognition verification protects against financial fraud by providing highly accurate and secure identity authentication. Face recognition system reduces the risks of unauthorized access by utilizing progressive biometric technology. AI-driven processes are essential in protecting against identity theft. Thus, protecting sensitive information across various industries is also crucial. This technology not only deters fraud but also enhances overall efficiency and reliability. It is integral to the ongoing battle against identity and document fraud.