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
- EP ID EP129957
- DOI -
- Views 137
- Downloads 0
Unsupervised Hybrid Classification for Texture Analysis Using Fixed and Optimal Window Size
For achieving better classification results in texture analysis, it is to combine different classification methods. Though there are existing methods which have been using fixed window size that resulted lack of classifi...
Adaption of Proactive Measure for Improving Performance Throughput Of TCP-Vegas
TCP (Transmission Control Protocol) throughput considered to be one of the most important aspects for analyzing the performance of TCP. This article represents a novel proactive technique based Acknowledge Delay which ai...
SSM-DBSCANand SSM-OPTICS : Incorporating a new similarity measure for Density based Clustering of Web usage data.
Clustering web sessions is to group web sessions based on similarity and consists of minimizing the intra-group similarity and maximizing the inter-group similarity. Here in this paper we developed a new similarity measu...
Automatic Clustering Approaches Based On Initial Seed Points
Since clustering is applied in many fields, a number of clustering techniques and algorithms have been proposed and are available in the literature. This paper proposes a novel approach to address the major problems in a...
Associated Sensor Patterns Mining of Data Stream from WSN Dataset
Data mining is the process to discover probably beneficial definite information from the large transactional databases. Association rule mining is most common technique of data mining. It aims at discovering associations...