Abstract
This paper reads on the possibility of using morphological operations to specify out a text from image using the basic mathematical grayscale morphology operations to make the text conspicuous and to use the artificial neural network methods to recognize the text from the image without any loss of texts from image even if the surface of the foreground-background combination is not properly defined. So as to make sure even in cases of unshaped background surfaces, light flares upon the foreground text, blurry or low-quality text scenes, the possibility of recognising the text from the natural scene is high and viable.
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Kumar, S.A., Divya, A., Dharshni, P.J., Kishan, M.V., Hariharan, V. (2020). Text Attentional Character Detection Using Morphological Operations: A Survey. In: Smys, S., Iliyasu, A.M., Bestak, R., Shi, F. (eds) New Trends in Computational Vision and Bio-inspired Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-41862-5_39
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DOI: https://doi.org/10.1007/978-3-030-41862-5_39
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-41861-8
Online ISBN: 978-3-030-41862-5
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