The purpose of this study is to explore an alternative means of hand image classification, one that requires minimal human intervention. The main tool for accomplishing this is a Genetic Algorithm (GA). This study is more than just another GA application; it introduces (a) a novel cooperative coevolutionary clustering algorithm with dynamic clustering and feature selection; (b) an extended fitness function, which is particularly suited to an integrated dynamic clustering space. Despite its complexity, the results of this study are clear: the GA evolved an average clustering of 4 clusters, with minimal overlap between them. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Kharma, N., Suen, C. Y., & Guo, P. F. (2003). PalmPrints: A novel co-evolutionary algorithm for clustering finger images. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2723, 322–331. https://doi.org/10.1007/3-540-45105-6_38
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