Piece Matching Optimization Based on Improved Genetic Strategy

Information Piece matching is a link in the system of shredded document reconstruction, and it plays a important role in the entire system. At present, although some methods have been proposed in research on it, these methods still have problems such as low matching accuracy, falling into local optimality easily and so on. Especially for actual document pieces, the results of existing methods are not good. In view of this, this paper starts from the perspective of combinatorial optimization, deeply analyzes the solution strategy of piece matching, and proposes a piece matching method based on improved genetic strategy. Through comparative experiments, the method is proved to realize the piece matching optimization in a global scope effectively.