Corpus ID: 236428867

Denoising and Segmentation of Epigraphical Scripts

@article{Preethi2021DenoisingAS,
  title={Denoising and Segmentation of Epigraphical Scripts},
  author={Parameswaran Sujatha Preethi and Hrishikesh Viswanath},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.11801}
}
This paper is a presentation of a new method for denoising images using Haralick features and further segmenting the characters using artificial neural networks. The image is divided into kernels, each of which is converted to a GLCM (Gray Level Co-Occurrence Matrix) on which a Haralick Feature generation function is called, the result of which is an array with fourteen elements corresponding to fourteen features The Haralick values and the corresponding noise/text classification form a… Expand

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