Artificial neural network based identification of Bharatanatyam Mudra images using eigen values

Abstract

This paper presents a three stage methodology for identification of Mudra images of Bharatanatyam dance. In the first stage, acquired images of Bharatanatyam Mudras are preprocessed to obtain contours of Mudras using canny edge detector. In the second stage, eigen values are extracted as features. In the third stage, an artificial neural network is used for recognition and classification of unknown Mudras. The work finds application in e-learning of Bharatanatyam dance in particular and dances in general and automation of commentary during concerts.