Abstract

Finger Spelling Identification by Employing Picture Processing

Highlights

  • Sign languages are languages that use manual communication to convey meaning

  • The problem of automated sign language recognition can be put across as, given a video of a sign language sentence, can We identify the signs in the sentence

  • The proposed Arabic Sign Language Alphabets Translator (ArSLAT) system does not rely on using any gloves or visual markings to accomplish the recognition job

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Summary

INTRODUCTION

Sign languages ( known as signed languages) are languages that use manual communication to convey meaning. This can include simultaneously employing hand gestures, movement, orientation of the fingers, arms or body, and facial expressions to convey a speaker's ideas. The only means of communication available to the vocally disabled is the use of sign language. Using sign language they are limited to their own world. The study leves scope for further research on translating different signer of sign language into text information in Kannada language with grammatically correct meaning. The literature on related woks is reviewed to know the state of the art and survey is organized

A Review of Previous Research
Feature extraction from 3D skeleton
Findings
4- CONCLUSION
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