Abstract
For the problems of the finger root deformation caused by hands’ locations’ inaccurate and a big error of hand shape feature’s extraction. Taking advantage of its role as Finger contour high stability, a present algorithm of hand location is improved. An algorithm is presented for Hand shape recognition which is without the connection with the finger root contour. This method first locates the finger’s central axis, and then extracts finger geometric features that are none of the finger root’s contour. The final statistical characteristic difference between different fingers is adopted to recognize the shape of hands. The method in this paper is good to solve the problem of large deformation at the finger root contour and the big error of the finger root’s location. We can extract the hand’s shape’s features with high stability. The recognition rate can reach to 99.51%.
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Liu, F., Gao, L., LI, W., Liu, H. (2014). A New Hand Shape Recognition Algorithm Unrelated to the Finger Root Contour. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_60
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DOI: https://doi.org/10.1007/978-3-319-12484-1_60
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12483-4
Online ISBN: 978-3-319-12484-1
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