Face verification is used by businesses and government agencies to verify the identities of employees and citizens. It is also used by law enforcement agencies to identify suspects and fugitives as well as by common users to unlock their phones or computers. Biometric reference has become a key for admission, unlocking, verification, matching and many other uses. There are several benefits of face verification, though basically for both online and offline authentication and for identity verification as a PIN or a password. Face matching has become more popular with the development of software for this purpose to check identity for document control, to set images side by side for forensics and police investigation, to detect people in crowds for security, to validate identity and even for less serious applications like social media and dating services.
This technology is based on the use of algorithms automatically generated that can compare faces against existing databases, a live scan or another picture. The verification is done considering Euclidian distance, nose shape, mouth and proportions, by a thorough analysis pixel by pixel. The system then determines whether the two faces belong to the same person as well as how different or similar they are. There are many APIs available on the internet today, but not all are reliable and easy to use. The camera scans the face and converts it into a mathematical representation called a vector. Then, the algorithm compares the vector to those in the database to determine whether they are similar enough to belong to the same person. The accuracy of face recognition technology can be improved by using multiple cameras and creating 3D models of faces. Some systems also use infrared cameras to capture images in low light conditions.
We recommend using Face Comparison Validator API, which is definitely the best available on the market at present as I is simple to use and provides accurate results. Just follow these steps if you want to give it a try with no charge to make the right choice for your needs. First create an account at Zyla API Hub. Once you have done this, you will receive an API key. To authenticate your API key, include your bearer token in the Authorization header. Then include the URL of the image/s you want to compare as a parameter in your API call and then make the call. And that’s all there is to it! Face Comparison Validator API will return all available results with a percentage of similarity between 0.01 and 0.99, with a confidence score and in just seconds.
Face Comparison Validator API is a tool that will help you contrast faces in an accurate way and with high efficiency. This API performs comparison quickly and accurately in order to determine similarities and differences. It is integrated with a suite of platforms by the same provider: API For Detecting Faces, Compare Faces API, Face Matching API, Identity Validator API, etc. for guaranteed accuracy.
To make use of it, you must first go to Face Comparison Validator API and simply click on the button “Subscribe” to start using the API. After signing up in Zyla API Hub, you will be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you will be able to use, connect, and manage APIs. Use the different API endpoints depending on what you are looking for. Once you find your needed endpoint, make the API call by pressing the button “run” and see the results on your screen.
