Abstract
Day-to-day technology is going in no time, digital acknowledgement are taking part immensely and providing additional scope to perform scrutiny in CNN techniques. Recognition of Gujarati transcribed numeral is difficult compared to different western numerals. However, several analyzers have provided real time answer for transcribed Gujarati numerals. This paper represents acknowledgement of transcribed Gujarati digits which enhances Convolutional Neural Network. Current analysis offers several solutions on Gujarati handwritten documents analysis and reasonable accuracy for concerning transcribed digit recognition.
Cite
CITATION STYLE
Upadhye*, G. D. … Sonawane, M. (2020). Pattern Recognition using Convolutional Neural Network for Handwritten Gujarati Numerals. International Journal of Recent Technology and Engineering (IJRTE), 8(5), 2680–2684. https://doi.org/10.35940/ijrte.e6042.018520
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