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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.00802 |
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| _version_ | 1866909375599214592 |
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| author | Mugisha, Stanley Gutu, Lynn tar Nagabhushan, P |
| author_facet | Mugisha, Stanley Gutu, Lynn tar Nagabhushan, P |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_00802 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image Enhancement Mugisha, Stanley Gutu, Lynn tar Nagabhushan, P Neural and Evolutionary Computing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning I.4.3 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. |
| title | An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image Enhancement |
| topic | Neural and Evolutionary Computing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning I.4.3 |
| url | https://arxiv.org/abs/2411.00802 |