Applying algebraic and differential invariants for logo recognition
Machine Vision and Applications
A Neural-Based Architecture for Spot-Noisy Logo Recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Using Negative Shape Features for Logo Similarity Matching
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
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A comparison is made of global and local methods for the shape analysis of logos in an image database. The qualities of the methods are judged by using the shape signatures to define a similarity metric on the logos. As representatives for the two classes of methods, we use the negative shape method which is based on local shape information and a wavelet-based method which makes use of global information. We apply both methods to images with different kinds of degradations and examine how a given degradation highlights the strengths and shortcomings of each method. Finally, we use these results to combine information from both methods and develop a new method which is based on the relative performances of the two methods.