Face biometrics

Read more about:
VeriLook technology and SDK

FaceCell technology and EDK

Large-scale multibiometrics:
MegaMatcher technology and SDK
MegaMatcher On Card SDK

Contents of this page

About face identification

Currently there are many methods of biometric identification: fingerprint, eye iris, retina, voice, face etc. Each of these methods has certain advantages and disadvantages which must be considered in developing biometric systems, such as: system reliability, price, flexibility, necessity of physical contact with the scanning device and many others. Selecting a certain biometric identification method or using a multi-biometric system can help to support these often discrepant requirements.

Face recognition can be an important alternative for selecting and developing an optimal biometric system. Its advantage is that it does not require physical contact with an image capture device (camera). A face identification system does not require any advanced hardware, as it can be used with existing image capture devices (webcams, security cameras etc.).

Thus, facial recognition should be considered as a serious alternative in the development of biometric or multi-biometric systems.

Facial recognition technology

Like fingerprint biometrics, facial recognition technology is widely used various systems, including physical access control and computer user accounts security.

Usually these systems extract cetain features from face images and then perform face matching using these features. A face does not have as many uniquely measurable features as fingerprints and eye irises, so facial recognition reliability is slightly lower than these other biometric recognition methods. However, it is still suitable for many applications, especially when taking into account its convenience for user. Facial recognition can also be used together with fingerprint recognition or another biometric method for developing more security-critical applications.

The multi-biometric approach is especially important for identification (1-to-many) systems. In general, identification systems are very convenient to use because they do not require any additional security information (smart cards, passwords etc.). However, using 1-to-many matching routines with only one biometric method, can result in a higher false acceptance probability, which may become unacceptable for applications with large databases. Using face identification as an additional biometric method can dramatically decrease this effect. This multi-biometric approach also helps in situations where a certain biometric feature is not optimal for certain groups of users. For example, people who do heavy labor with their hands may have rough fingerprints, which can increase the false rejection rate if fingerprint identification was used alone.

Related Products

VeriLook SDK

The VeriLook technology is intended for facial recognition system integrators. VeriLook offers fast reliable identification with live face detection and the ability of multiple face processing in a single frame.

VeriLook 5.0 SDK is camera independent, webcam capable and offers a set of programming samples and tutorials written in major programming languages. These types of SDK are available:

  • VeriLook 5.0 Standard SDK is intended for PC-based biometric application development. It includes Matcher and Extractor components, programming samples and tutorials, camera manager software and software documentation. The SDK allows the development of biometric applications for Microsoft Windows, Linux or Mac OS X operating systems.
  • VeriLook 5.0 Extended SDK is intended for biometric Web-based and network application development. It includes all features of Standard SDK. Additionally, the SDK contains sample client applications, tutorials and a ready-to-use matching server.

FaceCell EDK

The FaceCell technology has been developed for using in various embedded or mobile hardware, like smart phones, handheld computers and devices.

FaceCell 1.2 EDK is available on 30 day trial period. This downloadable trial kit allows developers to explore the technology and to try it in real environments and real applications.

MegaMatcher SDK

MegaMatcher is a multi-biometric technology, intended for large-scale face-fingerprint and optionally iris systems and AFIS integrators. The technology includes fingerprint, facial, iris and palm print recognition engines that could be used either separately or together. The face matching engine shows an outstanding speed, which makes it especially valuable for large-scale systems.

MegaMatcher 4.0 SDK includes server software for local multi-biometric systems, cluster software for large-scale multi-biometric products development, and a set of valuable task-specific components.