Complex Object Matching Using Polynomial Regression Technique Based on Pixels Distance
Dzulkifli Mohamad · 2008
The ability to model the object and to distinguish it from a large number of database has been investigated by many researches working in the computer vision and pattern recognition field. In this paper the trademark image as our focus on complex object was modeled using boundaries pixel distance. The invariant has been resulted from the distance of each boundaries pixel to their central point. By performing polynomial regression on each set of sorted distances, a unique set of numerical features from the coefficients of this polynomial function has been produced.