Logo Recognition: Theory and Practice

This book presents a logo recognition system based on line pattern features. To achieve the desired accuracy and efficiency, the system employs a conceptually simple three-stage hierarchy: polygonal approximation, indexing, and matching. In the first stage, raw logos are transformed into normalized line segment maps. In the second stage, effective line pattern features are used to index the database in order to generate a moderate number of likely models. The third stage, an improved line segment Hausdorff distance (LHD) measure, screens and generates the best matches.