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Genetic algorithms (GAs) have been applied to matching problem. However, traditional GAs do not perform well in matching problem because there can be many locally similar parts. This paper presents a new genetic algorithm for silhouette matching. New concepts of partially matched gene-strings in the initial population, the extending operator and the order adjustment algorithm are proposed. Each gene-string...
This paper presents a palmprint recognition system with palmprint images collected by a high-resolution color scanner. The scanned RGB image of the palmprint is pre-processed and the region of interest (ROI) of the palm is determined by the finger gap locations. Three sets of features extracted from the ROI image by the 2D Gabor filter using the palmprint phase orientation code (PPOC) represent texture...
In this paper, two regularized uncorrelated Chernoff discriminant analysis (RUCDA) techniques are introduced. As a heteroscedastic extension of the class-wise weighted Fisher criterion, the class-wise weighted Chernoff criterion employed in RUCDA better approximates the Chernoff upper bound of the Bayes classification error in the transformed space, which enable the resulting RUCDA to extract uncorrelated...
The linear discriminant analysis (LDA) is one of the most traditional linear dimensionality reduction methods. This paper incorporates the inter-class relationships as relevance weights into the estimation of the overall within-class scatter matrix in order to improve the performance of the basic LDA method and some of its improved variants. We demonstrate that in some specific situations the standard...
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