Interactive real time fuzzy class level gesture similarity measure based sign language recognition using artificial neural networks-Reference-Cited by-同舟云学术

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Interactive real time fuzzy class level gesture similarity measure based sign language recognition using artificial neural networks

Published:2019-11-22 Issue:5 Volume:37 Page:6855-6864
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Elakkiya R.¹,Vanitha V.²

Affiliation:

1. Centre for Artificial Intelligence and Machine Learning, School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India

2. Computer Science & Engineering, Sriramachandra Institute of Engineering & Technology, SRIHER, Porur, Chennai, Tamil Nadu, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference19 articles.

1. Color and Texture Descriptors;Manjunath;IEEE Transactions on Circuits and Systems for Video Technology,2001

2. Automatic image-text alignment for large scale web image indexing and retrieval;Zhou;Pattern Recognition,2015

3. Vitabile, A text Based indexing system for mammographic image retrieval and classification;Farruggia;Future Generation Computer Systems,2014

4. GeoIRIS: Geospatial information retrieval and indexing system-Content Mining, SemanticsModeling, And Complex Queries;Shyu;IEEE Trans Geoscience and Remote sensing,2007

5. An efficient indexing method for content-based image retrieval;Feng;Neurocomputing,2013

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1. Long Short-Term Memory (LSTM) model for Indian sign language recognition;Journal of Intelligent & Fuzzy Systems;2024-04-18

2. A Novel Approach for Photo-Realistic High Quality Sign Language Video Synthesis;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

3. SignSpeak: Exploring the Sign Language Communication Using Deep Neural Networks;2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom);2023-12-07

4. Visual retrieval of digital media image features based on active noise control;Journal of Computational Methods in Sciences and Engineering;2022-12-19

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