An Effective and Improved CNN-ELM Classifier for Handwritten Digits Recognition and Classification

An Effective and Improved CNN-ELM Classifier for Handwritten Digits Recognition and Classification

Optical character recognition is gaining immense importance in the domain of deep learning. With each passing day, handwritten digits (0–9) data are increasing rapidly, and plenty of research has been conducted thus far. However, there is still a need to develop a robust model that can fetch useful...

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Bibliographic Details
Main Authors: Saqib Ali, Jianqiang Li, Yan Pei, Muhammad Saqlain Aslam, Zeeshan Shaukat, Muhammad Azeem
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Symmetry
Subjects:
optical character recognition
handwritten self-build digits images
deep learning
MNIST digits
feature extraction
Online Access:https://www.mdpi.com/2073-8994/12/10/1742

Internet

https://www.mdpi.com/2073-8994/12/10/1742

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