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Selection of Location, Frequency and Orientation Parameters of 2D Gabor Wavelets
 

Summary: Selection of Location, Frequency and
Orientation Parameters of 2D Gabor Wavelets
for Face Recognition
Berk G¨okberk, M.O. Irfanoglu, Lale Akarun, and Ethem Alpaydin
Bogazi¸ci University, Department of Computer Engineering,
TR-34342, Istanbul, Turkey
{gokberk, irfanoglu, akarun, alpaydin}@boun.edu.tr
Abstract. In this paper, a two-level supervised feature selection algo-
rithm for local feature-based face recognition is presented. In the first
part, a genetic algorithm is used to determine the useful locations of the
face region for recognition. 2D Gabor wavelet-based feature extractors
are used for local image descriptors at these locations. In the second part,
the most useful frequencies and orientations of Gabor kernels are deter-
mined using a floating feature selection algorithm. Our major aim in this
study is to examine the relevance of the two common assumptions in the
local feature based face recognition literature: first, that the contribu-
tion of a specific feature to the recognition performance is independent
of others, and secondly, that feature extractors should be placed over the
visually salient points. In this paper, we show that one can obtain better
recognition accuracy by relaxing these two assumptions.

  

Source: Alpaydın, Ethem - Department of Computer Engineering, Bogaziçi University

 

Collections: Computer Technologies and Information Sciences