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Digit Recognition Using Neural Network

Author

Listed:
  • Frank Ekene Ozioko

    (Computer Science Department, Enugu State University of Science and Technology)

  • Chioma Uchechukwu Ugwa

    (Computer Science Department, Project Development Institute (PRODA) Enugu)

  • Izuchukwu Louis Akwudi

    (Computer Science Department, & ICTC, ESUT)

Abstract

The application of neural networks to digital recognition through a relatively easy-to-understand by the general public cannot be over emphasize. This paper investigated the several techniques used for preprocessing the handwritten digits, as well as several ways in which neural networks are used for the digital recognition task. Whereas the main goal was a purely educational one, a moderate recognition rate of 98% was reached on a test set.

Suggested Citation

  • Frank Ekene Ozioko & Chioma Uchechukwu Ugwa & Izuchukwu Louis Akwudi, 2025. "Digit Recognition Using Neural Network," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(13), pages 37-47, October.
    • Handle: RePEc:bjc:journl:v:12:y:2025:i:13:p:37-47
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