scispace - formally typeset
Open AccessJournal ArticleDOI

Indian Sign Language Recognition Using Eigen Value Weighted Euclidean Distance Based Classification Technique

Joyeeta Singha, +1 more
- 01 Jan 2013 - 
- Vol. 4, Iss: 2
Reads0
Chats0
TLDR
In this article, the authors proposed a system using Eigen value weighted Euclidean distance as a classification technique for recognition of various sign languages of India. But, the system was not suitable for the use of hand cropping and skin filtering.
Abstract
Sign Language Recognition is one of the most growing fields of research today. Many new techniques have been developed recently in these fields. Here in this paper, we have proposed a system using Eigen value weighted Euclidean distance as a classification technique for recognition of various Sign Languages of India. The system comprises of four parts: Skin Filtering, Hand Cropping, Feature Extraction and Classification. 24 signs were considered in this paper, each having 10 samples, thus a total of 240 images was considered for which recognition rate obtained was 97%.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Dynamic hand gesture recognition using vision-based approach for human---computer interaction

TL;DR: A vision-based approach is used to build a dynamic hand gesture recognition system and it is concluded that classifier fusion provides satisfactory results compared to other individual classifiers.
Journal ArticleDOI

Sign Language Recognition Application Systems for Deaf-Mute People

TL;DR: The aim of this paper is to review the sign language recognition approaches and find the best method that has been used by researchers so that other researchers can get more information about the methods used and could develop better Sign Language Application Systems in the future.
Proceedings ArticleDOI

Sign language recognition using image based hand gesture recognition techniques

TL;DR: Software which presents a system prototype that is able to automatically recognize sign language to help deaf and dumb people to communicate more effectively with each other or normal people is introduced.
Journal ArticleDOI

Nearest neighbour classification of Indian sign language gestures using kinect camera

TL;DR: A functional unobtrusive Indian sign language recognition system was implemented and tested on real world data and proposes a method for a novel, low-cost and easy-to-use application, for Indian Sign Language recognition, using the Microsoft Kinect camera.
Journal ArticleDOI

Static Hand Gesture Recognition for Sign Language Alphabets using Edge Oriented Histogram and Multi Class SVM

TL;DR: A static hand gesture recognition system for American Sign Language using Edge Oriented Histogram (EOH) features and multiclass SVM is proposed and the average accuracy of the system is compared with different number of features and the experimental findings demonstrate that the proposed method gives a success rate of 93.75%.
References
More filters
Proceedings ArticleDOI

A Real-Time Hand Gesture Recognition Method

TL;DR: Experimental results showed that the proposed method gained detection rate up to 91% with real-time performance, and the recognition results were obtained by the nearest neighbor method.
Proceedings ArticleDOI

3-D hand motion tracking and gesture recognition using a data glove

TL;DR: A rule-based algorithm is utilized to recognize simple hand gestures namely scissor, rock, and paper using the 3-D digital hand model and the KHU-1 data glove.
Proceedings ArticleDOI

Shape, texture and local movement hand gesture features for Indian Sign Language recognition

TL;DR: An approach which addresses local-global ambiguity identification, inter-class variability enhancement for each hand gesture, and performance is analyzed with well known classifiers like SVM, KNN & DTW to prove the better efficiency of the proposed approach.
Proceedings ArticleDOI

Gesture recognition for virtual reality applications using data gloves and neural networks

TL;DR: A data glove is explored as the input device for the use of hand gestures as a means of human-computer interactions for virtual reality applications, and the performance of different neural network models, such as backpropagation and radial-basis functions, are compared.
Proceedings ArticleDOI

Vision-Based Hand Gesture Recognition Using PCA+Gabor Filters and SVM

TL;DR: A novel method for hand gesture recognition based on Gabor filters and support vector machine (SVM) is presented, which proves the efficiency and superiority of the proposed Gabor-SVM method.
Related Papers (5)