A Vision Based Recognition of Indian Sign Language Alphabets and Numerals Using B-Spline Approximation

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 3

Abstract

Sign language is the most natural way of expression for the deaf community. The urge to support the integration of deaf people into the hearing society made the automatic sign language recognition, an area of interest for the researchers. Indian Sign Language (ISL) is a visual-spatial language which provides linguistic information using hands, arms, facial expressions, and head/body postures. In this paper we propose a novel vision-based recognition of Indian Sign Language Alphabets and Numerals using B-Spline Approximation. Gestures of ISL alphabets are complex since it involves the gestures of both the hands together. Our algorithm approximates the boundary extracted from the Region of Interest, to a B-Spline curve by taking the Maximum Curvature Points (MCPs) as the Control points. Then the B-Spline curve is subjected to iterations for smoothening resulting in the extraction of Key Maximum Curvature points (KMCPs), which are the key contributors of the gesture shape. Hence a translation & scale invariant feature vector is obtained from the spatial locations of the KMCPs in the 8 Octant Regions of the 2D Space which is given for classification.

Authors and Affiliations

Geetha M , Manjusha U C

Keywords

Related Articles

Copy-Move Forgery Detection in Digital Images: Progress and Challenges

With the advancement of technology and easy availability of imaging tools, it’s not difficult now a days to manipulate digital images to hide or create misleading images. Image forgery detection is currently one of the h...

Ubiquitous Computing-Approach to Intelligence Building

Ubiquitous computing (often abbreviated to “ubicomp”) refers to a new genre of computing in which the computer completely permeates the life of the user. In ubiquitous computing, computers become a helpful but invisible...

“Economic Load Dispatch by Generating Units under Varying Load Demands Using Artificial Neural Network”

The problem of economic load dispatch has been tested on a generating plant having Ten units of generators operating in parallel. What shall be the load allocations to individual units for given load demand on the plant?...

Design and Implementation of Neural Processor for Parsing Manufacturing Query Language 

Practically, all the approaches employed for parsing with natural languages use some or other type of neural network architecture and some typical statistical function for obtaining a parsing decision. In parsing with ne...

Mining Recurrent Pattern Identification on Large Database

Recurrent pattern mining is an important problem in the context of data mining. In this paper data mining algorithms have been discussed and compared. Recurrent pattern mining has been an important area in data mining re...

Download PDF file
  • EP ID EP129957
  • DOI -
  • Views 158
  • Downloads 0

How To Cite

Geetha M, Manjusha U C (2012). A Vision Based Recognition of Indian Sign Language Alphabets and Numerals Using B-Spline Approximation. International Journal on Computer Science and Engineering, 4(3), 406-415. https://europub.co.uk/articles/-A-129957