Abstract
In this paper we proposed a novel algorithm for recognizing hulls in a hand written digits. Those hull regions are detected in order to find out in a digit of user drawn. To achieve that it is necessary to follow the three steps. Those are Pre-processing, Boundary Extraction and at last apply the Hull Detection system in a way to attain the most relevant results. The detection of Hull Regions is mainly aim to intend the increase of machine learning capability in detection of characters or digits. This provides an artificial intelligence to the system in away in can identify the digits or characters easily. This can also be extended in order to get to detect the hull regions and their intensities in Black Holes in Space Exploration.
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Kothuri, S., Teja, M.K. (2015). Hull Detection from Handwritten Digit Image. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1. Advances in Intelligent Systems and Computing, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-319-13728-5_37
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DOI: https://doi.org/10.1007/978-3-319-13728-5_37
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13727-8
Online ISBN: 978-3-319-13728-5
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