ASL CHARACTERS RECOGNITION USING  PERSON SPECIFIC SUBSPACE METHOD

Hasanuzzaman, Md; Tareeq, S. M; Bhuiyan, M. A; Ueno, H.; Shirai, Y

dc.contributor.author	Hasanuzzaman, Md
dc.contributor.author	Tareeq, S. M
dc.contributor.author	Bhuiyan, M. A
dc.contributor.author	Ueno, H.
dc.contributor.author	Shirai, Y
dc.date.accessioned	2012-11-10T04:49:54Z
dc.date.accessioned	2019-05-28T09:49:47Z
dc.date.available	2012-11-10T04:49:54Z
dc.date.available	2019-05-28T09:49:47Z
dc.date.issued	2009-07-01
dc.identifier.uri	http://hdl.handle.net/20.500.11948/491
dc.description.abstract	This paper presents a person-specific subspace method for ASL characters recognition. To implement this person specific subspace method for ASL characters recognition the system first recognizes the faces and then uses skin-color segmentation method for hand poses segmentation. From the segmented hand poses the system recognizes ASL characters using both PCA and person-specific subspace method separately. Experiment result shows that the classification accuracy of person-specific subspace method is better than general PCA method. The experiment result also shows that person-specific subspace method is faster than general PCA method	en_US
dc.language.iso	en	en_US
dc.publisher	Daffodil International University	en_US
dc.subject	ASL character, Face recognition, PCA, Person-specific subspace method	en_US
dc.title	ASL CHARACTERS RECOGNITION USING PERSON SPECIFIC SUBSPACE METHOD	en_US
dc.type	Article	en_US