Implementation of image processing approach to translation of ASL finger-spelling to digital text

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dc.contributor.author Mandloi, Divya
dc.contributor.author Sarella, Kanthi
dc.contributor.author Glenn, Chance
dc.date.accessioned 2006-07-17T16:02:43Z
dc.date.available 2006-07-17T16:02:43Z en_US
dc.date.issued 2006
dc.identifier.uri http://hdl.handle.net/1850/2128
dc.description.abstract The present analysis is the phase one of a broader project, the Sign2 Project, which is focused on a complete technological approach to the translation of American Sign Language (ASL) finger-spelling to digital audio and/or text. The methodology adopted in this analysis employs a grayscale image processing technique. We will describe the latest results as well as future enhancements to the system. This paper will also discuss the application of the approach to the telecommunication Industry. en_US
dc.format.extent 1001873 bytes en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en_US en_US
dc.publisher Rochester Institute of Technology: The Laboratory for Advanced Communications Technology en_US
dc.subject ASL en_US
dc.subject Communication en_US
dc.subject Finger-spelling en_US
dc.subject Image processing en_US
dc.subject Linguistics en_US
dc.subject Sign language en_US
dc.title Implementation of image processing approach to translation of ASL finger-spelling to digital text en_US
dc.type Article en_US

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