UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1907E51


Registration ID:
220664

Page Number

347-360

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Title

STATIC HAND GESTURES RECOGNITION USING IMAGE PROCESSING

Abstract

Hand gesture recognition system can be used in different area,for example ,HCI(human-computer interaction), remote control, robot control, computer generated reality and so forth. Hand gesture recognition system is for the most part the investigation of identification and acknowledgment of different hand gestures like American Sign Language hand gestures, Danish Sign Language hand motions and so on by a computer system. This work is centered on three fundamental issues in building up a motion acknowledgment framework. This work is centered on three fundamental issues in building up a motion acknowledgment framework. Human Computer Interaction (HCI) requires using various modalities (for example body position, speech, hand motions, Lip development, Facial articulations, and so on.) and coordinating them together for an increasingly vivid client experience. Hand signals are a natural yet ground-breaking correspondence methodology which has not been completely investigated for Human Computer Interaction (HCI). The most recent computer vision, image processing methods make vision based hand gesture recognition plausible for Human Computer Interaction (HCI).In this thesis sign language recognition system is presented in which a Hand gesture detection system is proposed based on shape context matching with ANN algorithm .The proposed work was implemented on MATLAB. To indicate the potency and effectiveness of the proposed system results performance are compared with existing work with 90% and it's been analyzed that the proposed algorithm had achieved highest accuracy with 95%.

Key Words

Human Computer Interaction, Gesture Recognition System, ANN, Hand Gesture Recognition System, Feature Extraction

Cite This Article

"STATIC HAND GESTURES RECOGNITION USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.347-360, June 2019, Available :http://www.jetir.org/papers/JETIR1907E51.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"STATIC HAND GESTURES RECOGNITION USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp347-360, June 2019, Available at : http://www.jetir.org/papers/JETIR1907E51.pdf

Publication Details

Published Paper ID: JETIR1907E51
Registration ID: 220664
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 347-360
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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