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.
Department, Program, or Center
Electrical, Computer and Telecommunications Engineering Technology (CAST)
Mandloi, Divya; Sarella, Kanthi; and Glenn, Chance, "Implementation of image processing approach to translation of ASL finger-spelling to digital text" (2006). Rochester Institute of Technology: The Laboratory for Advanced Communications Technology,Accessed from
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