A.B.Kogan Research Institute for Neurocybernetics
Southern Federal University
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FaceIdent system is designated for identifying a person by his face image. It is implemented as a software module that can be used independently or in combination with different soft hardware, such as video surveillance and authorization system.

The proposed system is demanded in many areas. For example in offices it can be used to replace mechanical keys with biometric one and for logging staff working time. FaceIdent application in services sector will make it possible to identify a standing customer in advance, to use an individual approach, tailoring services according to previous orders.

Technical characteristics of the biometric identification module:

  • Face image scaling relative to the pattern 1.5 times zoom in/out.
  • Image plane rotations up to +/- 5 degree.
  • False reject rate 2%.
  • False accept rate 0.01%.

 

For further information please contact Michail Petrushan.

Page created: 03.04.2013, modified: 14.10.2013