PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images

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.

• Type: Conference
• Year: 2003
• Where: GECCO
• Authors: Nawwaf N. Kharma, Ching Y. Suen, Pei F. Guo
• Keywords: Coevolutionary Clustering Algorithm, Dynamic Clustering, GECCO 2003, Integrated Dynamic Clustering