Survey on Real Time Sign Language Recognition System: An LDA Approach

	International Journal of P2P Network Trends and Technology (IJPTT)
	© 2017 by IJPTT Journal
	Volume-7 Issue-6
	Year of Publication : 2017
	Authors : Suriya M, Sathyapriya N, Srinithi M, Yesodha V

Citation

Suriya M, Sathyapriya N, Srinithi M, Yesodha V "Survey on Real Time Sign Language Recognition System: An LDA Approach". International Journal of P2P Network Trends and Technology (IJPTT).V7:8-13 November to December 2017. ISSN:2249-2615. www.ijpttjournal.org. Published by Seventh Sense Research Group.

Abstract

Sign Language Recognition is one of the most growing fields of research area. Many new techniques have been developed recently in these area. The Sign Language is mainly used for communication of deaf-dumb people. This paper shows the sign language recognizing of 26 hand gestures in Indian sign language using MAT LAB. The proposed system contains four modules such as: pre-processing and hand segmentation, feature extraction, sign recognition and sign to text and voice conversion. By using image processing the segmentation can be done. Some of the features are extracted such as Eigen values and Eigen vectors which are used in recognition. The Linear Discriminant Analysis (LDA) algorithm was used for gesture recognition and recognized gesture is converted into text and voice format. The proposed system helps to dimensionality reduction.

References

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Keywords
Hand Gesture Recognition; Human Computer Interaction; Euclidean Distance (E.D); Eigen Values; Eigen Vectors.