Optimization Of The Features Used In Face Recognition


14th International Research/Expert Conference ”Trends in the Development of Machinery and Associated Technology” TMT 2010, Saraybosna, Bosnia And Herzegovina, 11 - 18 September 2010, pp.757-760

  • Publication Type: Conference Paper / Full Text
  • City: Saraybosna
  • Country: Bosnia And Herzegovina
  • Page Numbers: pp.757-760
  • Istanbul University Affiliated: Yes


We present an optimization method for the features used in face recognition. The particle swarm algorithm is used to select the optimum parameters for the Gabor filter which is employed in our face recognition algorithm. We generate 40 Gabor filters and determine one optimum filter parameter set from those by using the particle swarm optimization. The face recognition is performed by using only the output of the Gabor filter with optimum parameter set as well as the all 40 filter output feature set. The performance of the proposed method is presented by means of simulations.