Face recognition using fuzzy Integral and wavelet decomposition method

Authors:
Keun-Chang Kwak;W. Pedrycz
Affiliations:
Dept. of Electr. Eng., Chungbuk Nat. Univ., Cheongju, South Korea;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Year:
2004

Citing 0
Cited 14

Łukasiewicz transform and its application to compression and reconstruction of digital images

Information Sciences: an International Journal
Comparison of NIST and Wavelet Transform Test Point Selection Methods For a Programmable Gain Amplifier

Journal of Electronic Testing: Theory and Applications
Classification performance evaluation of single-layer perceptron with Choquet integral-based TOPSIS

Applied Intelligence
Nonadditive grey single-layer perceptron with Choquet integral for pattern classification problems using genetic algorithms

Neurocomputing
Real-Time Road Sign Detection Using Fuzzy-Boosting

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Recent Literature

Fuzzy Sets and Systems
Classification and recognition of character using WP decomposition, Zernike moments and fuzzy integral

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Choquet integral-based hierarchical networks for evaluating customer service perceptions on fast food stores

Expert Systems with Applications: An International Journal
Fuzzy posterior-probabilistic fusion

Pattern Recognition
LIFT: A new framework of learning from testing data for face recognition

Neurocomputing
Face recognition using RBF neural networks and wavelet transform

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Secure personnel authentication based on multi-modal biometrics under ubiquitous environments

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Face recognition based on support vector machine fusion and wavelet transform

CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Iris pattern recognition using fuzzy LDA method

KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we develop a method for recognizing face images by combining wavelet decomposition, Fisherface method, and fuzzy integral. The proposed approach is comprised of four main stages. The first stage uses the wavelet decomposition that helps extract intrinsic features of face images. As a result of this decomposition, we obtain four subimages (namely approximation, horizontal, vertical, and diagonal detailed images). The second stage of the approach concerns the application of the Fisherface method to these four decompositions. The choice of the Fisherface method in this setting is motivated by its insensitivity to large variation in light direction, face pose, and facial expression. The two last phases are concerned with the aggregation of the individual classifiers by means of the fuzzy integral. Both Sugeno and Choquet type of fuzzy integral are considered as the aggregation method. In the experiments we use n-fold cross-validation to assure high consistency of the produced classification outcomes. The experimental results obtained for the Chungbuk National University (CNU) and Yale University face databases reveal that the approach presented in this paper yields better classification performance in comparison to the results obtained by other classifiers.