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Hindu Arabic character recognition using mathematical morphology

Authors: Ratan Kumar Basak; Bipasha Mukhopadhyay; Souvik Chatterjee; Sukalyan Goswami; Amrin Zaman; Ronit Ray; Abhriya Roy; +3 Authors

Hindu Arabic character recognition using mathematical morphology

Abstract

Presentation of a novel decision tree based method to improve the ability of hand written character recognition using mathematical morphology. For this paper, classification of hand written digits is done into two groups: one with blob and another without blob. This paper proposes the recognition of digits using certain features that can distinguish one digit from the other.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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