Feature Extraction and Matching for different Intensity values using scale invariant feature transform.
India, having less awareness towards the deaf and dumb peoples results in an increase the communication gap between deaf and laborious hearing community. Sign language is often developed for deaf and laborious hearing peoples to convey their message by generating the various sign pattern. The Scale-invariant feature Transform has been accustomed perform reliable matching between a totally different image of the same object. This paper implements the assorted phases of scale-invariant feature transform to extract the distinctive features from Devnagri sign language gestures. The intensity of the original image is varied and then the feature extraction and matching have been performed between original and intensity varied image. The experimental result shows the intensity of the original image is changed by a pair of,3,4, and 5 times and the system achieves more than 99% of accuracy.
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