ABSTRACT
When the number of test and model logos is large, the price for brute force matching between the test and model logos is high. To cut down the CPU time, one can do logo indexing in order to narrow down the scope of matches. Logo indexing operates on the normalized Line Segment Maps (LSM) of logos and produces a moderate number of likely models with respect to a test logo. The normalized LSM is generated from a normalization process that aligns logos to a standard position and scale. All the models can be pre-aligned to save time. Details of the processes are described in the following sections.
