Paper Title
A Survey on Digit Recognition Using Deep Learning
Article Identifiers
Authors
Aditi M Joshi , Kinjal Thakar
Keywords
Deep Learning; Image Classification; Digit Recognition; Shape Based Recognition; (Half-Unit Biased) Hub; Hidden Markov Models(HMM); Pattern Recognition, Freeman Chain Code; Image processing; Convolutional Neural Networks; Power Quality.
Abstract
Artificial Intelligence nowadays is so trendy, especially the neural networks, which are proving successful in a number of areas such as character recognition and speech recognition etc. This paper briefly describes how deep learning techniques used in digit recognition. It further describes the greatest advances that have occurred in the field of Medicine, forensic document analysis, number plate recognition, Banking, Healthcare, and legal industry. Digit recognition is one of the focused area of research in the field of Artificial Intelligence. Recognition of individual Digit have greater recognition accuracy than the recognition of characters. This paper presents a comprehensive review of Hindi and Sanskrit Digit Recognition using Deep learning approach.
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How To Cite (APA)
Aditi M Joshi & Kinjal Thakar (April-2018). A Survey on Digit Recognition Using Deep Learning . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 3(4), 112-118. https://ijnrd.org/papers/IJNRD1804020.pdf
Issue
Volume 3 Issue 4, April-2018
Pages : 112-118
Other Publication Details
Paper Reg. ID: IJNRD_180059
Published Paper Id: IJNRD1804020
Downloads: 000121991
Research Area: Engineering
Country: -, -, -
Published Paper PDF: https://ijnrd.org/papers/IJNRD1804020.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1804020
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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