Recognition of Handwritten Digits Using Computer Vision Preprocessor Based Combined Architecture of Self-Organizing Map and Backpropagation on MNIST Dataset

Samarth Srivastava, Suryabhan Yadav, Kalpaj Agrawalla, Tanisha Malhotra, N. V. Subba Reddy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a neural network system of combined architecture, using a self-organizing map (SOM) along with the concept of backpropagation to recognize handwritten digits from the MNIST dataset. The handwritten digits of the MNIST dataset were processed through a computer vision pre-processor. The general problem with the backpropagation method, which is its big learning time for large datasets, is attempted to be removed when used with an unsupervised mode of classification such as SOM when the data being used for backpropagation is already made to go through the SOM algorithm.

Original languageEnglish
Title of host publication2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2080-2084
Number of pages5
ISBN (Electronic)9781538659946
DOIs
Publication statusPublished - 07-2018
Event2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018 - Bhubaneswar, India
Duration: 27-07-201828-07-2018

Publication series

Name2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018

Conference

Conference2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018
CountryIndia
CityBhubaneswar
Period27-07-1828-07-18

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All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Srivastava, S., Yadav, S., Agrawalla, K., Malhotra, T., & Subba Reddy, N. V. (2018). Recognition of Handwritten Digits Using Computer Vision Preprocessor Based Combined Architecture of Self-Organizing Map and Backpropagation on MNIST Dataset. In 2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018 (pp. 2080-2084). [9009110] (2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRIEECE44171.2018.9009110