JOURNAL ARTICLE

Handwritten Character Recognition using Deep Learning

Bhargav RajyagorRajnish Rakholia

Year: 2020 Journal:   International Journal of Recent Technology and Engineering (IJRTE) Vol: 8 (6)Pages: 5815-5819

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.

Keywords:
Computer science Character (mathematics) Intelligent character recognition Character recognition Artificial intelligence Focus (optics) Document processing Optical character recognition Intelligent word recognition Deep learning Speech recognition Feature (linguistics) Field (mathematics) Set (abstract data type) Pattern recognition (psychology) Natural language processing Feature extraction Image (mathematics) Linguistics

Metrics

22
Cited By
1.57
FWCI (Field Weighted Citation Impact)
0
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Handwritten Text Recognition Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology

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