A research on automatic handwritten devnagari text generation in different styles using recurrent neural network (Deep learning) especially for marathi script

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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.

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Sharma, Y. K., & Khan, V. (2019). A research on automatic handwritten devnagari text generation in different styles using recurrent neural network (Deep learning) especially for marathi script. International Journal of Recent Technology and Engineering, 8(2 Special Issue 11), 938–942. https://doi.org/10.35940/ijrte.B1154.0982S1119

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