World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , Academia , 

World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

  • ICV

    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

  • New Issue Published

    Its Our pleasure to inform you that, WJERT March 2024 Issue has been Published, Kindly check it on https://www.wjert.org/home/current_issues

  • WJERT New Impact Factor

    WJERT Impact Factor has been Increased to 7.029 for Year 2024.

  • WJERT: MARCH ISSUE PUBLISHED

    March 2024 Issue has been successfully launched on 1 March 2024.

Indexing

Abstract

THE NOVEL METHOD FOR RECOGNITION OF AMERICAN SIGN LANGUAGE WITH RING PROJECTION AND DISCRETE WAVELET TRANSFORM

Murat Taşkıran*, Sibel Çimen and Zehra Gülru Çam Taşkıran

ABSTRACT

Sign Language is a language that allows individuals with hearing or speech impairment to communicate with themselves and their surroundings and has the feature of not being a universal language. This language, which is not universal, is suitable for image processing as it is expressed by hand signals in general terms. In this study, firstly, we performed the skin color detection process to determine the position of the hand gesture, and then extract the edge regions of the hand gestures using the sobel filter and discrete two-dimensional wavelet transform. The obtained hand gesture image was used with the ring projection technique and the two-dimensional image was reduced to one-dimensional. The feature vectors were obtained by applying discrete wavelet transform to obtained the one-dimensional matrise. Classification of hand gestures was made with the Generalized Regression Neural Network (GRNN) using the obtained feature vectors. As a result of this study, 90.44% test accuracy was obtained.

[Full Text Article] [Download Certificate]