Secondary Diagonal FLD for Fingerspelling Recognition

I
ICCTA
2007
International Conference on Computing: Theory and Applications (ICCTA'07)
Abstract - Secondary Diagonal FLD for Fingerspelling Recognition

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International Conference on Computing: Theory and Applications (ICCTA'07)

Kolkata, India

March 05-March 07

ISBN: 0-7695-2770-1

	ASCII Text	x
	M.G. Suraj, D.S. Guru, "Secondary Diagonal FLD for Fingerspelling Recognition," International Conference on Computing: Theory and Applications, pp. 693-697, International Conference on Computing: Theory and Applications (ICCTA'07), 2007.

	BibTex	x
	@article{ 10.1109/ICCTA.2007.115, author = {M.G. Suraj and D.S. Guru}, title = {Secondary Diagonal FLD for Fingerspelling Recognition}, journal ={International Conference on Computing: Theory and Applications}, volume = {0}, year = {2007}, isbn = {0-7695-2770-1}, pages = {693-697}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICCTA.2007.115}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - International Conference on Computing: Theory and Applications TI - Secondary Diagonal FLD for Fingerspelling Recognition SN - 0-7695-2770-1 SP693 EP697 A1 - M.G. Suraj, A1 - D.S. Guru, PY - 2007 KW - null VL - 0 JA - International Conference on Computing: Theory and Applications ER -

M.G. Suraj, University of Mysore, India

D.S. Guru, University of Mysore, India

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCTA.2007.115

The problem of recognising fingerspelling alphabets for sign language interpretation is addressed in this paper. An appearance based model is proposed. The proposed model suggests a modification to the existing diagonal FLD model at two stages, one at rearranging of images and the other at adjusting the contrast of the images by the use of histogram equalisation. The proposed model is called SecDia FLD. An extensive experimentation conducted on a large fingerspelling dataset revealed the superiority of the proposed model. In addition, we have also brought out the effectiveness of the proposed model on the Yale face dataset

Citation:

M.G. Suraj, D.S. Guru, "Secondary Diagonal FLD for Fingerspelling Recognition," iccta, pp.693-697, International Conference on Computing: Theory and Applications (ICCTA'07), 2007

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