There are so many fractal which are not uniquely characterize by some fractal parameters like Fractal dimension, Succolarity, Lacunarity, Morphological entropy. Can you suggest some fractal parameters which would be able to characterize distinctly from other fractals?

Fractal curvature might be the answer. In differential or convex geometry, you need curvature to classify sets up to isometry. So it seems natural to introduce curvature for "fractals" in an attempt to get a finer geometric description. This has been done for mostly selfsimilar fractals by Winter, Zähle, Rataj, Kombrink, and me (Bohl, formerly Rothe). The full generalization to selfconformal sets is my upcoming PhD thesis. Philosophically, and literally in differential geometry, curvature takes the second derivative of "coordinates" into account. In contrast, the Hausdorff and packing measures, most other dimensions, Minkowski content (=lacunarity), and surface content are only sensitive to the first derivative. Topological entropy is related to Gibbs / equilibrum measures if you have some kind of iterated function system, and these measures also belong to first order geometry. 


It does matter how you are thinking of fractals. If you are thinking of all sets of Hausdorff dimension that is not integral, then there is essentially no chance of having a number of realvalued invariants that distinguish them. There are always going to be too many sets, I believe. If you use selfsimilarity (of some kind), or particular ways of generating sets, there is possibly a more reasonable question, of how to find quantitative measures to distinguish them. 

