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

机译:基于特征值的基于人工神经网络的Bharatanatyam Mudra图像识别

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摘要

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.
机译:本文提出了一种用于识别Bharatanatyam舞蹈的手印图像的三阶段方法。在第一阶段,使用Canny边缘检测器对获取的巴拉塔那坦手印图像进行预处理,以获得手印轮廓。在第二阶段,特征值被提取为特征。在第三阶段,使用人工神经网络对未知手印进行识别和分类。该作品尤其适用于Bharatanatyam舞蹈的电子学习,尤其是一般舞蹈和音乐会期间评论的自动化。

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