Back to Search
Start Over
VISION BASED MULTI-FEATURE HAND GESTURE RECOGNITION FOR INDIAN SIGN LANGUAGE MANUAL SIGNS
- Source :
- International Journal on Smart Sensing and Intelligent Systems, Vol 9, Iss 1 (2016)
- Publication Year :
- 2016
- Publisher :
- Exeley Inc., 2016.
-
Abstract
- Indian sign language (ISL) is the main communication medium among deaf Indians. An ISL vocabulary show that the hand plays a significant role in ISL. ISL includes static and dynamic hand gesture recognition. The main aim of this paper is to present multi-feature static hand gesture recognition for alphabets and numbers. Here, comparative analysis of various feature descriptors such as chain code, shape matrix, Fourier descriptor, 7 Hu moments, and boundary moments is done. Multi-feature fusion descriptor is designed using contour (Boundary moments, Fourier descriptor) and region based (7Hu moments) descriptors. Analysis of this new multi-feature descriptor is done in comparison with other individual descriptors and it showed noteworthy results over other descriptors. Three classification methods such as, Nearest Mean Classifier (NMC), k-Nearest Neighborhood (k-NN) and Naive Bayes classifier are used for classification and comparison. New Multi-feature fusion descriptor shows high recognition rate of 99.61% among all with k-NN. Real time recognition for number signs 0-9, of fusion descriptor with NMC gave 100% accuracy
- Subjects :
- Indian sign language interpretation
Computer science
Speech recognition
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
k-nearest neighborhood classifier
02 engineering and technology
lcsh:Technology
Engineering
Multi feature
lcsh:Technology (General)
0202 electrical engineering, electronic engineering, information engineering
7 Hu moments
Electrical and Electronic Engineering
Vision based
Indian sign language
lcsh:T
05 social sciences
050301 education
nearest mean Classifier
Fourier descriptor
Health Care Sciences & Services
ComputingMethodologies_PATTERNRECOGNITION
Control and Systems Engineering
Gesture recognition
lcsh:T1-995
020201 artificial intelligence & image processing
Boundary moments
0503 education
Subjects
Details
- Language :
- English
- ISSN :
- 11785608
- Volume :
- 9
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- International Journal on Smart Sensing and Intelligent Systems
- Accession number :
- edsair.doi.dedup.....5b61a02466d176cc2438138cbdcc4b43