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

Authors

Divya Mandloi
Kanthi Sarella
Chance Glenn

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.

Publication Date

2006

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Article

Department, Program, or Center

Electrical, Computer and Telecommunications Engineering Technology (CAST)

Recommended Citation

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
https://repository.rit.edu/article/1002

Campus

RIT – Main Campus