Real Time Indian Sign Language Recognition System using SVM Classifier

Authors

  • Mr. Girme R. B PG Student, Electronics and Telecommunication Department, NBNSCOE Solapur MH, India
  • Prof. Marathe V. R Asst Prof, Electronics and Telecommunication Department, NBNSCOE Solapur MH, India

Keywords:

database; Covariance; PCA; SVM; Web Camera

Abstract

In the field of Human Computer Interaction (HCI) lot of research has been done. One of the system sign
language recognition give a solution for HCI. The system which we design called sign language recognition system. This
gives the solution to build the Human Computer Interaction (HCI) where the computer is used as interpreters. These
systems are used to recognize the real time static & dynamic sign convention by using MATLAB. Sign are captured using
web camera & PCA technique is used for feature extraction. This proposed system can use for real time application due
to the use of simple logic condition applied to recognize the sign.

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Published

2018-01-25

How to Cite

Mr. Girme R. B, & Prof. Marathe V. R. (2018). Real Time Indian Sign Language Recognition System using SVM Classifier. International Journal of Advance Engineering and Research Development (IJAERD), 5(1), 10–15. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/1962

Issue

Vol. 5 No. 1 (2018): Volume 5 Issue 1 January 2018

Section

Articles