Hand Gesture Identification for Improving Accuracy Using Convolutional Neural Network(CNN)

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Published

12-12-2022

DOI:

https://doi.org/10.58414/SCIENTIFICTEMPER.2022.13.247

Keywords:

Hand Gesture, Machine Learning, ASL Data Set, Convolutional Neural Network;

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Issue

Vol. 13 No. 02 (2022): The Scientific Temper

Section

Articles

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Copyright (c) 2022 The Scientific Temper

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors

  • Rajesh Kumar Singh Deparment of CSE, IFTM University, Moradabad,UP India
  • Abhishek Kumar Mishra Deptt of Computer Science & Engg. IFTM University, Moradabad, UP India
  • Ramapati Mishra Deptt. of ECE, Dr. Rammamanohar Lohia Avadh Univrersity, Ayodhya UP India

Abstract

Hand gestures are a type of non-verbal communication that uses visible body movements to convey important messages. This paper presents a much better approach of hand gesture prediction. Image Identification is an important step in most of the modern hand gesture prediction system. A convolutional neural network are used for improving the accuracy of the system. Proposed system tested for large number of hand gesture images using Tensor flow tool . The convolutional neural network (ConvNet) is a deep learning algorithm for learning and classifying hand gestures and achieved accuracy 93.61%.

How to Cite

Singh, R. K., Mishra, A. K., & Mishra, R. (2022). Hand Gesture Identification for Improving Accuracy Using Convolutional Neural Network(CNN). The Scientific Temper, 13(02), 327–335. https://doi.org/10.58414/SCIENTIFICTEMPER.2022.13.247

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