There are two verification processes in the domain of biometric security, face verification and face recognition. These two terms are exchangeable but they serve different and unique purposes. Moreover, the differences between these technologies are critical for businesses and the same users. Systems like face verification have a core focus on ensuring the person’s identity whereas face recognition checks and recognizes the person from the face database. This article will discuss the variations of these technologies, applications, and system fundamentals to power them.
What is Face Verification?
Systems like face verification are driven by biometric technology which is used to ensure the person’s identity who claim they to be. The entire method depends on the comparison of live images and videos of the face with the existing image of the same person. However, this comparison guarantees the person who is attempting to get access or verify matches with the identity meets with the existing template. Furthermore, face verification online is rapidly increasing for unlocking smartphones and obtaining safe applications. It also checks the identities for the online transactions.
Work Working Mechanism of Face Verification Systems
The working mechanism of the face verification system depends on the image-capturing process of the user’s face and matching it with the stored image for reference. The system creates the key features, such as eye distance, cheekbone shape, and lip contouring. The latest algorithms and artificial intelligence check these features and ensure the match. If the new image matches with the existing one then the verification process is completed. Interestingly, the face verification process involves the Know Your Customer method which confirms that the individual has completed the verification process and is a real holder.
Comprehensions of Face Recognition
This technology is good for a person’s identity from the face database. The main focus of this system is to perform the 1:N matching comparison, scanning a huge number of databases to find the exact match. Surveillance, security systems, and other social media platforms are using this technology for tagging persons in photos. Facial recognition can analyze people in real time and it is a powerful tool for security agencies across the world.
Applications of Face Verification
Face verification systems are vastly usable across different sectors to increase security and smooth user authentication experience. Multiple financial industries are using facial verification systems to follow safe banking transactions and minimize fraud risks. Some mobile applications integrate with face verification to unlock devices and approve payments which provides a smooth user experiences. This technology is good for the onboarding processes to verify the new user for compliance and security.
How Face Recognition Systems Work?
Face recognition technologies retain the face image and analyze the unique facial features by using experienced algorithms. These features will then go under comparison with the existing database of images. However, these systems will recognize the person by finding the exact match in the database. This system strictly depends on ML algorithms and neural networks to enhance accuracy.
Key Differences Between Face Verification and Face Recognition
The basic difference between face verification and face recognition depends on the objectives and procedures. The face verification system is here to ensure the person’s identity by matching the live image with the existing template. It only focuses on the 1:1 matching. Face recognition systems have the purpose of analyzing the person by matching the face against the existing database of multiple faces. It works on the 1:N matching mechanism. Furthermore, face verification systems are usually applicable for the controlled environment to access control and identity verification. Whereas face recognition technology has more dynamics for identity verification and surveillance.
Applications of Face Recognition
Face recognition technology has a vast range of applications, specifically in terms of security and surveillance. Furthermore, in law enforcement agencies, the use of face recognition technology recognizes the suspicious person and tracks the person in the public spaces too. Not only this but this technology increases public safety and provides multiple benefits in retail sectors to recognize regular customers and customized shopping experience. Some social media platforms also use face recognition systems to tag persons in images, smoothing the entire process of organizations and image sharing.
Wrapping It Up:
Face verification and face recognition systems are two powerful biometric methods that uniquely provide different services. However, the face verification process has a core focus on the person’s identity via 1:1 matching that confirms the person is real. Whereas face recognition analyzes the person from the database with the help of 1:N matching to recognize the person. Developing an understanding of these two systems is important for using this technology accurately for particular applications. It ensures that the access is secure, accurate identity verification process, and large-scale surveillance.
Also, read: What Are The Latest Trends In Artificial Intelligence?
