@inproceedings{68875fbc2d934a9a8b3548bb83146f1e,
title = "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.",
keywords = "Characteristic points detection, HCI, Hand gestures, Sign language",
author = "Tomasz Grzejszczak and Adam Ga{\l}uszka and Micha{\l} Niezabitowski and Krystian Radlak",
year = "2014",
doi = "10.1007/978-3-642-54734-8\_19",
language = "English",
isbn = "9783642547331",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer New York LLC",
pages = "167--174",
booktitle = "Technological Innovation for Collective Awareness Systems - 5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS2014, Proceedings",
note = "5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2014 ; Conference date: 07-04-2014 Through 09-04-2014",
}