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Recognize Number of fingers from Single hand gesture Image using Image processing and Neural Network

H. Bhavsar1 , J. Trivedi2

  1. Computer Science , S.S.Agrawal Institute of Computer Science, Navsari , Gujarat, India.
  2. Computer Science, Sardar Patel University Anand,Gujarat,India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 349-352, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.349352

Online published on May 31, 2018

Copyright © H. Bhavsar, J. Trivedi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: H. Bhavsar, J. Trivedi, “Recognize Number of fingers from Single hand gesture Image using Image processing and Neural Network,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.349-352, 2018.

MLA Style Citation: H. Bhavsar, J. Trivedi "Recognize Number of fingers from Single hand gesture Image using Image processing and Neural Network." International Journal of Computer Sciences and Engineering 6.5 (2018): 349-352.

APA Style Citation: H. Bhavsar, J. Trivedi, (2018). Recognize Number of fingers from Single hand gesture Image using Image processing and Neural Network. International Journal of Computer Sciences and Engineering, 6(5), 349-352.

BibTex Style Citation:
@article{Bhavsar_2018,
author = {H. Bhavsar, J. Trivedi},
title = {Recognize Number of fingers from Single hand gesture Image using Image processing and Neural Network},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {349-352},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1983},
doi = {https://doi.org/10.26438/ijcse/v6i5.349352}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.349352}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1983
TI - Recognize Number of fingers from Single hand gesture Image using Image processing and Neural Network
T2 - International Journal of Computer Sciences and Engineering
AU - H. Bhavsar, J. Trivedi
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 349-352
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

Objective of proposed research is to recognize total number of fingers from hand gesture image. This kind of system is very useful for mute people who can communicate through computer with others. This research paper defines proposed methodology for recognition of total fingers from hand gesture image. Images are processed by various image processing functions in MATLAB 2018. After extraction of features, finally recognition is done through Neural Network classification algorithm. For testing, 100 different images of hand gesture have taken from different people. Average result accuracy is 92%.

Key-Words / Index Term

Neaural Network, Matlab, Feature Extraction

References

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