TY - GEN
T1 - A contactless hand shape identification system
AU - Cui, Xin
AU - Xiangqian, Wu
AU - Zhao, Qiushi
AU - Tang, Youbao
PY - 2011
Y1 - 2011
N2 - Geometric measurements of human hand shape have been used for personal authentication in a number of commercial systems. Yet, traditional hand shape image acquisition devices have auxiliary pegs or planar to help users place their hands correctly for accurate identification. It is not so acceptable for privacy reasons. Moreover, the contact may contaminate and corrode the device. Aiming at these disadvantages, a contactless hand shape identification approach is proposed in this paper. Hand images are captured by the self-developed device in a contactless manner. After that, geometry features are extracted based on key points, which are selected by Sliding Window Filtering Algorithm. Distance measuring is then performed on feature vectors to get a final decision. Experiments show that Equal Error Rate of the system reaches 2.16% and 2.40% in two different kinds of data sets.
AB - Geometric measurements of human hand shape have been used for personal authentication in a number of commercial systems. Yet, traditional hand shape image acquisition devices have auxiliary pegs or planar to help users place their hands correctly for accurate identification. It is not so acceptable for privacy reasons. Moreover, the contact may contaminate and corrode the device. Aiming at these disadvantages, a contactless hand shape identification approach is proposed in this paper. Hand images are captured by the self-developed device in a contactless manner. After that, geometry features are extracted based on key points, which are selected by Sliding Window Filtering Algorithm. Distance measuring is then performed on feature vectors to get a final decision. Experiments show that Equal Error Rate of the system reaches 2.16% and 2.40% in two different kinds of data sets.
KW - contactless
KW - hand shape
KW - key points extraction
UR - https://www.scopus.com/pages/publications/80053324703
U2 - 10.1109/ICACC.2011.6016476
DO - 10.1109/ICACC.2011.6016476
M3 - 会议稿件
AN - SCOPUS:80053324703
SN - 9781424488087
T3 - 2011 3rd International Conference on Advanced Computer Control, ICACC 2011
SP - 561
EP - 565
BT - 2011 3rd International Conference on Advanced Computer Control, ICACC 2011
T2 - 3rd IEEE International Conference on Advanced Computer Control, ICACC 2011
Y2 - 18 January 2011 through 20 January 2011
ER -