Handwritten Character Recognition using Deep Learning

  • Rajyagor* B
  • et al.
N/ACitations
Citations of this article
40Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In day to day human life, handwritten documents are a general purpose for communication and restoring their information. In the field of computer science, character recognition using Deep Learning has more attention. DL has a massive set of pattern recognition tools that can apply to speech recognition, image processing, natural language processing and has a remarkable capability to find out a solution for complex machine learning problems. DL can focus on the specific feature of an image to character recognition for enhancing efficiency and accuracy.

Cite

CITATION STYLE

APA

Rajyagor*, B., & Rakholia, Dr. R. M. (2020). Handwritten Character Recognition using Deep Learning. International Journal of Recent Technology and Engineering (IJRTE), 8(6), 5815–5819. https://doi.org/10.35940/ijrte.f8608.038620

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