Facial Recognition

Facial recognition technology is based upon the spatial geometry of an individual’s face, measuring the distance between key features such as eyes, nose, chin, mouth, etc., and within this category, there are solutions that have been developed utilizing both 2-dimensional and 3-dimensional views.

Facial recognition technologies leverage existing facial image libraries and infrastructure (including captured digital images and CCTV surveillance solutions), often making them faster to deploy at a lower cost than other biometrics. This type of technology is non-intrusive, and can be used in covert applications. However, facial recognition technology is generally perceived as less accurate (susceptible to spoofing, unable to account for the impact of changes over time, including facial hair and glasses) than other biometric applications, and there are a great number of privacy concerns with covert applications (e.g., watchlist surveillance in airports and other public locations).

With widespread use of facial recognition technology for international travel documents, vendors are expected to focus on improving accuracy levels. The largest deployment of facial recognition technology encompasses database sizes approaching 40 million individuals.

Key Applications:

• Watchlist Surveillance
• Benefits/Asylum Fraud Reduction
• Identity Verification – International Travel Documents (passports, visas)
• Multi-modal systems, in combination with fingerprint recognition

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