Indian Sign Language Gesture Segmentation Using Active Contour

Deaf and dumb people communicate using sign language which everyone can’t understand. The sign language can be conveyed to others using computers. This paper proposes a segmentation method using active contour algorithm that identifies the hands, which can be converted to medium so that everyone can understand. The gestures for Indian language are segmented and the contour is formed based on local information. The contour is the outline or boundary of an image. The local contour can segment objects with heterogeneous features. First the contour based segmentation is compared with edge based segmentation. Then the study of the energy in response to changes in localization is observed. And then the results of overlapping images that are possible with contour based segmentation are illustrates. This proposed method gives the exact contour of every gesture