A class of sparsely connected autoassociative morphological memories for large color images
IEEE Transactions on Neural Networks
A successful interdisciplinary course on computational intelligence
IEEE Computational Intelligence Magazine
A Comparative Study of Palmprint Recognition Algorithms
ACM Computing Surveys (CSUR)
A note on computational intelligence methods in biometrics
International Journal of Biometrics
Gait verification using knee acceleration signals
Expert Systems with Applications: An International Journal
Nonlinear quantization on Hebbian-type associative memories
Applied Intelligence
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Computational intelligence (CI) technologies are robust, can be successfully applied to complex problems, are efficiently adaptive, and usually have a parallel computational architecture. For those reasons they have been proved to be effective and efficient in bio-metric feature extraction and biometric matching tasks, sometimes used in combination with traditional methods. In this article, we briefly survey two kinds of major applications of CI in biometric technologies, CI-based feature extraction and CI-based biometric matching. Varieties of evolutionary computation and neural networks techniques have been successfully applied to biometric data representation and dimensionality reduction. CI-based methods, including neural network and fuzzy technologies, have also been extensively investigated for biometric matching. CI-based biometric technologies are powerful when used in the representation and recognition of incomplete biometric data, discriminative feature extraction, biometric matching, and online template updating, and promise to have an important role in the future development of biometric technologies