An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image Enhancement
This work addresses image quality improvement for handwritten document analysis, but it appears incremental as it modifies an existing optimization method.
The paper tackles handwritten document image enhancement by proposing an improved chicken swarm optimization algorithm for contrast enhancement while preserving detail, which outperforms existing meta-heuristic algorithms like Cuckoo Search, Firefly Algorithm, and Artificial Bee Colony.
Chicken swarm optimization is a new meta-heuristic algorithm which mimics the foraging hierarchical behavior of chicken. In this paper, we describe the preprocessing of handwritten document by contrast enhancement while preserving detail with an improved chicken swarm optimization algorithm.The results of the algorithm are compared with other existing meta heuristic algorithms like Cuckoo Search, Firefly Algorithm and the Artificial bee colony. The proposed algorithm considerably outperforms all the above by giving good results.