{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:07:49Z","timestamp":1774879669059,"version":"3.50.1"},"reference-count":22,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"abstract":"<jats:p>India is rich in culture and heritage where various traditional dances are practiced. Bharatanatyam is an Indian classical dance, which is composed of various body postures and hand gestures. This ancient art of dance has to be studied under guidance of dance teachers. In present days there is a scarcity of Bharatanatyam dance teachers. There is a need to adopt technology to popularize this dance form. This article presents a 3-stage methodology for the classification of Bharatanatyam mudras. In the first stage, acquired images of Bharatanatyam mudras are preprocessed to obtain contours of mudras using canny edge detector. In the second stage, Hu-moments are extracted as features. In the third stage, rule-based classifiers, artificial neural networks, and k-nearest neighbor classifiers are used for the classification of unknown mudras. The comparative study of classification accuracies of classifiers is provided at the end. The work finds application in e-learning of \u2018Bharatanatyam' dance in particular and dances in general and automation of commentary during concerts.<\/jats:p>","DOI":"10.4018\/ijacdt.2019070104","type":"journal-article","created":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T14:21:17Z","timestamp":1568384477000},"page":"58-71","source":"Crossref","is-referenced-by-count":1,"title":["A Comparative Study of Certain Classifiers for Bharatanatyam Mudra Images' Classification using Hu-Moments"],"prefix":"10.4018","volume":"8","author":[{"given":"Basavaraj S","family":"Anami","sequence":"first","affiliation":[{"name":"KLEIT Hubballi, Karnataka, India"}]},{"given":"Venkatesh Arjunasa","family":"Bhandage","sequence":"additional","affiliation":[{"name":"Tontadarya College of Engineering, Gadag, India"}]}],"member":"2432","reference":[{"key":"IJACDT.2019070104-0","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-018-9921-6"},{"key":"IJACDT.2019070104-1","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-018-0715-2"},{"key":"IJACDT.2019070104-2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.391"},{"key":"IJACDT.2019070104-3","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-4765-7_69"},{"key":"IJACDT.2019070104-4","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-014-0400-z"},{"issue":"6","key":"IJACDT.2019070104-5","first-page":"335","article-title":"Novel approach to use Hu moments with image processing techniques for real time sign language communication.","volume":"9","author":"M.Fernando","year":"2015","journal-title":"International Journal of Image Processing"},{"key":"IJACDT.2019070104-6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21786-9_32"},{"key":"IJACDT.2019070104-7","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1962.1057692"},{"key":"IJACDT.2019070104-8","first-page":"883","article-title":"Automatic Indian sign language recognition system.","author":"D.Karishma","year":"2013","journal-title":"Proceedings of the 3rd International conference on Advance Computing Conference"},{"key":"IJACDT.2019070104-9","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/5141402"},{"issue":"5","key":"IJACDT.2019070104-10","first-page":"2537","article-title":"Indian classical dance mudra classification using HOG features and SVM classifier.","volume":"7","author":"K. V. V.Kumar","year":"2017","journal-title":"Iranian Journal of Electrical and Computer Engineering"},{"key":"IJACDT.2019070104-11","doi-asserted-by":"crossref","unstructured":"Liu, Y., Yin, Y., & Zhang, S. (2012). Hand gesture recognition based on Hu moments in interaction of virtual reality. Proceedings of the 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE.","DOI":"10.1109\/IHMSC.2012.42"},{"key":"IJACDT.2019070104-12","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-7221-5_11"},{"key":"IJACDT.2019070104-13","unstructured":"Otiniano-Rodr\u00edguez, K. C., C\u00e1mara-Ch\u00e1vez, G., & Menotti, D. (2012). Hu and Zernike moments for sign language recognition. Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV) (Vol. 2, pp. 918\u2013922). Academic Press."},{"key":"IJACDT.2019070104-14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39482-9_59"},{"key":"IJACDT.2019070104-15","doi-asserted-by":"publisher","DOI":"10.14445\/23488387\/IJCSE-V6I1P102"},{"key":"IJACDT.2019070104-16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCI.2014.6921745"},{"key":"IJACDT.2019070104-17","doi-asserted-by":"publisher","DOI":"10.4236\/eng.2016.810066"},{"key":"IJACDT.2019070104-18","unstructured":"Sriparna, S., Lidia, G., Amit, K., & Ramadoss, J. (2013). Fuzzy L membership function based hand gesture recognition for Bharatanatyam dance. Proceedings of the2013 5th International Conference Computational Intelligence and Communication Networks (CICN) (pp. 331\u2013335). IEEE."},{"key":"IJACDT.2019070104-19","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2016.09.018"},{"key":"IJACDT.2019070104-20","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-016-0579-2"},{"key":"IJACDT.2019070104-21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2010.11.013"}],"container-title":["International Journal of Art, Culture, Design, and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=237163","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T20:27:57Z","timestamp":1651782477000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJACDT.2019070104"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":22,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.4018\/ijacdt.2019070104","relation":{},"ISSN":["2155-4196","2155-420X"],"issn-type":[{"value":"2155-4196","type":"print"},{"value":"2155-420X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7]]}}}