A Research on Automatic Handwritten Devnagari Text Generation in Different Styles Using Recurrent Neural Network (Deep Learning) Especially for Marathi Script
Yogesh Kumar Sharma1, Vajid Khan2
1Dr. Yogesh Kumar Sharma, Professor Head, Research Coordinator, Department of Computer Science and Engineering, Research Coordinator Shri JJTU, (Rajasthan), India.
2Mr. Vajid Khan, Research Scholar, Department of Computer Science and Engineering, Shri JJTU, (Rajasthan), India.
Manuscript received on 12 October 2019 | Revised Manuscript received on 21 October 2019 | Manuscript Published on 02 November 2019 | PP: 938-942 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11540982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1154.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The point of handwritten numeral reputation (HNR) framework is to order input numeral all in all of k classifications. There are standard HNR frameworks have 2 elements: handwritten numeral popularity. In spotlight exam step, data relevant as an example classifier. the example arrangement step names the numeral by means of and large of k classifications exploitation the class models. in the course of the years, right savvy amount of labor has been allotted in the space of HNR. Fluctuated methods are arranged within the writing for characterization of composed numerals. those hold close Hough changes, visible diagram methods, head element research, and bolster vector machines, closest neighbor methods, neural figuring and fluffy essentially based totally methodologies.
Keywords: Handwriting Popularity, CNN-RNN Community, Records Augmentation, Photo Pre-Processing.
Scope of the Article: Deep Learning