Hand Written Digit Recognition using Multilayer Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

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Hand Written Digit Recognition using Multilayer Deep Convolutional Neural Network

Published:2023-12-09 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR)
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Author:

Deepa S¹,Praveenkumar G D²,Duraivelu Vivek³,Suguna R⁴,Sathishkumar P⁴,Priyananthan N B⁵

Affiliation:

1. Kongu Engineering College Perundurai,Department of Computer Technology - PG,Erode,Tamilnadu,638 052

2. VET Institute of Arts and Science(Co-Education)College,Department of computer science,Erode,Tamilnadu

3. B V Raju Institute of Technology,Department of Computer Science and Engineering,Narsapur,Telangana,502313

4. Bannari Amman Institute of Technology,Department of Computer science and Engineering,Sathyamangalam

5. Kongu Engineering College Perundurai,Final M.Sc(Software Systems),Erode,Tamilnadu,638 052

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10392286/10396847/10396910.pdf?arnumber=10396910

Reference13 articles.

1. A comparative study on handwritten digit recognizerusing machine learning techniques;Kanniga Devi,2019

2. Understanding convolutional neural networks using a minimal model for handwritten digit recognition

3. Handwritten digits recognition with artificial neural network

4. Structural representation-based off-line Tamil handwritten character recognition

5. Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)

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