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A study of fingerspelling recognition by hand shape using higher-order local auto-correlation features

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4 Author(s)
Kanemura, T. ; Ube Nat. Coll. of Technol., Ube, Japan ; Mitani, Y. ; Fujita, Y. ; Hamamoto, Yoshihiko

The fingerspelling recognition by hand shape is an important step for developing a human-computer interaction system. In this paper, we have proposed a method of fingerspelling recognition by hand shape using higher-order local auto-correlation features. Furthermore, in order to improve the fingerspelling recognition performance, we have also proposed to apply image processing techniques of reducing image resolution and thresholding an image. The results show that the proposed method is effective for fingerspelling recognition by hand shape.

Published in:

SICE Annual Conference (SICE), 2011 Proceedings of

Date of Conference:

13-18 Sept. 2011