Open AccessHandwritten Character Recognition using Deep Learning
Author(s) -
Bhargav Rajyagor,
Rajnish M. Rakholia
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.f8608.038620
Subject(s) - computer science , character (mathematics) , intelligent character recognition , character recognition , artificial intelligence , focus (optics) , document processing , intelligent word recognition , optical character recognition , feature (linguistics) , speech recognition , deep learning , pattern recognition (psychology) , set (abstract data type) , field (mathematics) , natural language processing , image (mathematics) , linguistics , philosophy , physics , geometry , mathematics , pure mathematics , optics , programming language
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.