Text Fragment Recovery Method Based on Imperial Competition Algorithm
Dongyu Guo, Zeyuan Tao · Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018) · 2018
In this paper, a text fragment splicing method based on K-means and Empire competition algorithm is proposed.First, use K-means clustering to find out a piece of paper that belongs to one line; Then, define the edge distance of the paper, and establish a combined optimization model; using the imperial competition algorithm to optimize the solution.The experimental results show that the speed and accuracy of this algorithm are improved compared with the literature algorithm and have certain application value.