University of Bahrain
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Hybrid technique: text detection using a neural network and Boxes

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dc.contributor.author Majeed, Hamsa D.
dc.contributor.author Ibrahim, Reem M.
dc.date.accessioned 2020-07-21T13:42:09Z
dc.date.available 2020-07-21T13:42:09Z
dc.date.issued 2021-01-01
dc.identifier.issn 2210-142X
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/4027
dc.description.abstract This paper presents a text detector system, named NNBoxes, which detects text with both high accuracy and efficiency, NNBoxes is a hybrid technique between the Neural network (Noise reduction and letters prediction) and (Lockbox and hitbox) method created by the Author, both boxes draw grids and lines to support the decision algorithm, in some cases the boxes technique detect text pattern in the image that the language text is not supported in the algorithm Dataset and train data. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Text detection en_US
dc.subject Text Recognition en_US
dc.subject Neural Network (NN) en_US
dc.subject AI en_US
dc.title Hybrid technique: text detection using a neural network and Boxes en_US
dc.type Article en_US
dc.identifier.doi http://dx.doi.org/10.12785/ijcds/100120
dc.volume 10 en_US
dc.issue 1
dc.pagestart 201 en_US
dc.pageend 206 en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US


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