An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image Enhancement

TL;DR

This paper introduces an enhanced chicken swarm optimization algorithm tailored for improving handwritten document images through contrast enhancement, outperforming several existing meta-heuristic algorithms in quality.

Contribution

The paper presents a novel improved chicken swarm optimization algorithm specifically designed for handwritten document image enhancement, demonstrating superior performance over existing algorithms.

Findings

Outperforms Cuckoo Search, Firefly Algorithm, and Artificial Bee Colony in image enhancement quality.

Effectively enhances contrast while preserving details in handwritten documents.

Shows significant improvement in image quality metrics.

Abstract

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.