Title :
A note of fingerspelling recognition by hand shape using higher-order local auto-correlation features
Author :
Kanemura, Takuya ; Mitani, Yoshihiro ; Fujita, Yusuke ; Hamamoto, Yoshihiko
Author_Institution :
Ube Nat. Coll. of Technol., Ube, Japan
Abstract :
The fingerspelling recognition by hand shape is an important step for developing a human-computer interaction system. A method of fingerspelling recognition by hand shape using higher-order local auto-correlation(HLAC) features is proposed. From the experimental results, the proposed method is promising. And to reduce image resolution and to thresholding an image are shown to be effective. In this paper, in order to further improve the fingerspelling recognition performance, we have proposed the use of division of an image in extracting HLAC features. The results show that the division of an image is effective for fingerspelling recognition by hand shape.
Keywords :
correlation methods; feature extraction; gesture recognition; human computer interaction; image resolution; image segmentation; HLAC feature extraction; fingerspelling recognition performance improvement; hand shape; higher-order local autocorrelation feature extraction; human-computer interaction system; image resolution reduction; image thresholding; Educational institutions; Error analysis; Feature extraction; Image recognition; Pattern recognition; Shape; Training; Division of an Image; Fingerspelling Recognition by Hand Shape; HLAC features; Image Processing Techniques;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1
