Face Recognition is rather an emerging biometrics technology. Results depend very much on the quality of 2D images with respect to light and position of the subject.
 
More and more companies are trying to enter this field by developing or improving present algorithm.


Key Algorithm include and/based on:
 

• Principal Component Analysis
• Independent Component Analysis
• Linear Discriminant Analysis 
• Eigenspace-based Approch
• Radial Symmetry Transform
• Kernel Methods
• Trace Transform
• 3-D Morphable Model
• Bayesian Framework
  

Several mature face recognition companies have entered into partnerships with other companies, often with CCTV providers, to offer some advanced recognition or identity storage solution.