Comparison of Hand Feature Points Detection Methods

Abstract : This paper presents the research and comparison of four methods of hand characteristic points detection. Each method was implemented and modified in order to test their capabilities on database for hand gesture recognition. All methods are explained, tested and compared to others with other leading to final remarks. The main purpose of the research is to choose the best algorithm giving the most information about human hand that would lead to create a human – computer interaction program.
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Communication dans un congrès
Luis M. Camarinha-Matos; Nuno S. Barrento; Ricardo Mendonça. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-423, pp.167-174, 2014, Technological Innovation for Collective Awareness Systems. 〈10.1007/978-3-642-54734-8_19〉
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Tomasz Grzejszczak, Adam Gałuszka, Michał Niezabitowski, Krystian Radlak. Comparison of Hand Feature Points Detection Methods. Luis M. Camarinha-Matos; Nuno S. Barrento; Ricardo Mendonça. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-423, pp.167-174, 2014, Technological Innovation for Collective Awareness Systems. 〈10.1007/978-3-642-54734-8_19〉. 〈hal-01274767〉

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