How A Biometric Face Scanner Works
A Biometric Face Scanner is used to perform face recognition, which is defined as an automated or semi-automated process of matching facial images. The biometric face scanner captures an image of the face so that it can be analysed by special software in order to obtain a biometric "signature". There is no single universal algorithm for analyzing the human face. Each biometric face scanner manufacturer uses its own algorithm.
Face recognition is a really broad term, although it's commonly used as if it refers to just a single type of technology, when it actually constitutes of a group of technologies which all work with the face but use unique scanning methods. Generally, methods can be divided into two categories - 2D and 3D. Currently, the most popular method is 2D face recognition, using images produced by a standard digital camera. The advantages of 2D face recognition are that it's easier to conduct and less expensive compared to other techniques. Downside is that the technical challenges are more as systems deal badly with variations in face orientation and lighting conditions, which eventually leads to lower accuracy rates. By using 3D, researchers achieve decreased sensitivity towards factors such as makeup and changes in illumination. The main disadvantage of 3D scanning is that scanners are more expensive and the 3D images are not backwards-compatible with existing photo databases. The next step in the development of face scanning is the use infra-red (IR) radiation.
In present days, there is a growing need for automated biometric identification systems in forensic and civil fields of applications. The fast and accurate ID-ing is especially critical for large-scale applications like visa and passport documentation, when crossing borders, in election control systems, credit card transactions control and crime scene investigations.
There is one really interesting face recognition technology coming from a Japanese company called Sagawa Advance, which is accurate enough to be able to differentiate two identical twins. This technology represents a serious breakthrough on current methods. Every pore is analysed. It uses an infrared scanner to analyse 40,000 data points on a face before comparing the details against a database of people it already knows. One of the most precious advantages of the face recognition technology in general, is that it's compatible with existing databases of facial images. In that way, the captured image can be compared with all the images stored in the database to provide absolutely accurate matching. This is particularly good for international anti-crime investigations. The United States of America, al countries part of the European Union, as we all the more advanced ones in Asia and South America, maintain databases of passport photographs, driver's license photographs, so they use face recognition to mine existing databases, checking for duplicates and multiple identities. Making comparison between biometric face scanner and the age-old door lock is useless. Products like that come from the future so you should definitely integrate them to protect your systems. Each user must have registration to gain control in the system.
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