Performance Analysis of Face Recognition by Principal Component Analysis and Feed Forward Neural Network

Research Area: Volume 1 Issue 1, Jan 2012 Year: 2012
Type of Publication: Article Keywords: Biometric, PCA and FFNN, Pattern Matching, FERET
Authors:
  • S. N. Kakarwal
  • R. R. Deshmukh
Journal: IJEIR Volume: 1
Number: 1 Pages: 40 - 45
Month: Jan.
ISSN: 2277-5668
Abstract:
In face recognition, it is important to select the invariant facial features especially faces with various poses and expression change. This paper presents novel technique for recognizing faces viz. PCA + FFNN. The experiment is performed over FERET faces. This technique gives results with considerable accuracy.

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