Amanote Research

Amanote Research

    RegisterSign In

Segmentation, Tracking and Feature Extraction for Indian Sign Language Recognition

International Journal on Computational Science & Applications
doi 10.5121/ijcsa.2014.4207
Full Text
Open PDF
Abstract

Available in full text

Date

April 30, 2014

Authors
Divya SKiruthika SNivin Anton A LPadmavathi S
Publisher

Academy and Industry Research Collaboration Center (AIRCC)


Related search

Spatial Relationship Based Features for Indian Sign Language Recognition

International Journal of Computing, Communication and Instrumentation Engineering
2016English

Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition

English

Sign Language Recognition With Multi Feature Fusion and ANN Classifier

Turkish Journal of Electrical Engineering and Computer Sciences
Electronic EngineeringElectricalComputer Science
2018English

An Efficient Framework for Indian Sign Language Recognition Using Wavelet Transform

Circuits and Systems
2016English

Geodesic Active Regions for Segmentation and Tracking of Human Gestures in Sign Language Videos

2008English

Sign Language Recognition

2011English

Sign Language Recognition

Multimodal Interface for Human-Machine Communication
2002English

Feature Tracking and Motion Compensation for Action Recognition

2008English

Large Datasets: Segmentation, Feature Extraction, and Compression

1996English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy