The essence of Rough set theory is a mathematic tool describing imperfection and uncertainty, can effectively analyze
and deal with those imprecise, inconsistent, incomplete or other imperfect information so as to find out the implied
knowledge. The synergetic pattern recognition is a new way of pattern recognition with many excellent features such as
noise resistance, deformity resistance, and better robustness. The selection of prototype patterns is very important to
pattern recognition of synergetic approach. The main research now is focused on prototype modify from eigenvalue
instead of image pixel. Division matrix of rough set can get the best reduce result, and Furthermore dynamic rough set
method is applied and optimal non-linear features are got as prototype patterns. Experiment result on cervical squamous
intraepithelial cell images shows that the new algorithm can effectively search the optimal prototype patterns, the
synergetic recognition method proposed in this paper is more available, and excellent, correct and fast recognition result
has been achieved.
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