Establishment and Retrieval of Trademark Image Database Based on Decision Tree

In this paper, decision tree learning is used to establish and retriev e tra demark image database. In order to gain full structural and statistical id entities, relative moments of the trademark skeleton image are us ed to form t he original feature space during system establishing. Distance Difference Functi on is created to select good feature for each non-terminal node. Meanwhile, deci sion tree structure is appointed as the structure of trademark database, which h elps unifying the course of trademark recognition, trademark retrieval and trade mark database establishment. The unifying also dues to the selection of classifi cation result of ISODATA as heuristic information and the depth-first strategy, which reduces the searching cost. Finally, the experiment outcome confirms this way of feasible and highly efficient.