Pattern Recognition using Convolutional Neural Network for Handwritten Gujarati Numerals

  • et al.
N/ACitations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

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

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free