  Shape is one of the most important visual attributes to characterize objects,
playing a important role in pattern recognition. There are various approaches
to extract relevant information of a shape. An approach widely used in shape
analysis is the complexity, and Fractal Dimension and Multi-Scale Fractal
Dimension are both well-known methodologies to estimate it. This papers
presents a comparative study between Fractal Dimension and Multi-Scale Fractal
Dimension in a shape analysis context. Through experimental comparison using a
shape database previously classified, both methods are compared. Different
parameters configuration of each method are considered and a discussion about
the results of each method is also presented.
