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A multistage hierarchical algorithm for hand shape recognition

Farouk, Mohamed and Sutherland, Alistair and Shoukry, Amin A. (2009) A multistage hierarchical algorithm for hand shape recognition. In: IMVIP 2009 - 13th International Machine Vision and Image Processing Conference, 2-4 September 2009, Dublin, Ireland. (In Press)

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This paper represents a multistage hierarchical algorithm for hand shape recognition using principal component analysis (PCA) as a dimensionality reduction and a feature extraction method. The paper discusses the effect of image blurring to build data manifolds using PCA and the different ways to construct these manifolds. In_order to classify the hand shape of an incoming sign object and to be invariant to linear transformations like translation and rotation, a multistage hierarchical classifier structure is used. Computer generated images for different Irish Sign Language shapes are used in testing. Experimental results are given to show the accuracy and performance of the proposed algorithm.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:gesture recognition; hand shape recognition; sign language;
Subjects:Computer Science > Interactive computer systems
Computer Science > Image processing
Computer Science > Digital video
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ID Code:14952
Deposited On:02 Nov 2009 11:27 by Alistair Sutherland. Last Modified 29 Sep 2017 13:51

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