2018
DOI: 10.14419/ijet.v7i3.14053
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Deformed character recognition using convolutional neural networks

Abstract: Realization of high accuracies towards south Indian character recognition is one the truly interesting research challenge. In this paper, our investigation is focused on recognition of one of the most widely used south Indian script called Kannada. In particular, the proposed exper-iment is subject towards the recognition of degraded character images which are extracted from the ancient Kannada poetry documents and also on the handwritten character images that are collected from various unconstrained environme… Show more

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Cited by 41 publications
(5 citation statements)
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“…This study differs from other existed work because it reveals the effectiveness of CNN in terms of high accuracy and low computational time to classify handwritten digits [36][37][38][39]. With extensive literature survey, it comes to know that accuracy of various reported CNN models is not up to the mark as mentioned in Table 3.…”
Section: Introductionmentioning
confidence: 70%
See 1 more Smart Citation
“…This study differs from other existed work because it reveals the effectiveness of CNN in terms of high accuracy and low computational time to classify handwritten digits [36][37][38][39]. With extensive literature survey, it comes to know that accuracy of various reported CNN models is not up to the mark as mentioned in Table 3.…”
Section: Introductionmentioning
confidence: 70%
“…Their algorithm produced maximum 75% of accuracy. Shobha Rani [39] reported work on recognition of one of the most widely used South Indian script called Kannada. The training of character image samples is carried out by using one of the deep convolution neural networks.…”
Section: Introductionmentioning
confidence: 99%
“…A CNN uses individual components, each of which is referred to as a filter extracted from the original image, to identify character patterns in photographs. [13]. Compare their strategy to those of trained systems like MobileNetV1, InceptionV3, and DenseNet121.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This results in excessive moistening of the latter and further degradation of their properties. Nonuniform temperature fields throughout the cross-section of the structure can have a negative effect on the strength gain of concrete [9][10][11][12][13][14][15]. Cracking caused by the temperature gradient can provide a loss in the structural integrity and a reduction in the service life of in-situ reinforced concrete structures [16][17][18].…”
Section: Introductionmentioning
confidence: 99%