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IPM
30
YEARS OLD

“School of Cognitive Sciences”

Paper   IPM / Cognitive Sciences / 7897
   School of Cognitive Sciences
  Title: Face Recognition by Multiple Classifiers, a Divide-and-Conquer Approach
  Author(s):
1 . R. Ebrahimpour
2 . S.R. Ehteram
3 . E. Kabir
  Status: Published
  Journal: LECT NOTES ARTIF INT
  Vol.: 3683
  Year: 2005
  Pages: 225-232
  Supported by: IPM
  Abstract:
In this paper, an approach that uses a combination of neural network classifiers (CNNC) is applied to human face recognition. We present a divide-and- conquer approach for system composed of several separate networks. Decomposing the complex problem into sub-problems for solving them by a binary base classifier is presented. Each of that learns to recognize a subject of the complete set of training database. Combining the results of sub-problems with max rule accomplished to achieve better performance. The recognition rate of 100

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