Open AccessPattern Recognition using Convolutional Neural Network for Handwritten Gujarati Numerals
Author(s) -
Gopal D. Upadhye,
Sanika Shirsat,
Komal Pandit,
Sayali Shirsat,
Megha Sonawane
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6042.018520
Subject(s) - gujarati , numeral system , convolutional neural network , computer science , numerical digit , acknowledgement , speech recognition , artificial intelligence , pattern recognition (psychology) , natural language processing , arithmetic , linguistics , mathematics , computer security , philosophy
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.