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Gumaste, S. V.
- Review Paper:Detail Study for Sign Language Recognization Techniques
Authors
1 VTU, Belgaum, Karnataka, IN
2 Department of Computer Engg, R. H. Sapat College of Engineering, Nashik, Pune, Maharashtra, IN
Source
Digital Image Processing, Vol 8, No 3 (2016), Pagination: 65-69Abstract
This paper reviews the intensive state of the art in automatic recognition of continuous signs, from different languages, supported the information sets used, features computed, technique used, and recognition rates achieved. In this paper discover that, in the past, most work has been tired finger-spelled words and isolated sign recognition, but recently, there has been vital progress within the recognition of signs embedded briefly continuous sentences. Paper tend to conjointly realize that researchers are getting down addressing the necessary downside of extracting and integration non-manual data that is gift in face and head movement and present results from experiments integration of non-manual options.
Keywords
American Sign Language (ASL), Hidden Marko Model (HMM) and Extended Multi Modal Annotation (EMMA).- New Frame Work for Translation of Sign Language Action into Text Description in Kannada
Authors
1 Department of Computer Engineering, Dr. D Y Patil School of Engineering and Technology, Pune, IN
2 Department of Computer Engineering, R. H. Sapat College of Engineering, Nashik, Maharashtra, IN
Source
Digital Image Processing, Vol 8, No 10 (2016), Pagination: 315-319Abstract
In later year's gesture based communication acknowledgment has turned in a standout amongst the most developing fields of examination and it is the most characteristic method of correspondence for the individuals with listening to issues. A hand signal acknowledgment framework can give a chance to hard of hearing persons speak with typical individuals without the need of a translator or middle. Proposed system is going to construct a framework and techniques for the programmed acknowledgment of the Kannada communication via gestures. Through that we are giving instructing classes to the reason for preparing the hard of hearing sign client in Kannada. The framework does oblige hand to be appropriately adjusted to the camera and does not require any wearable sensors. A substantial arrangement of tests has been utilized as a part of the proposed framework to perceive confined words from the standard Kannada communication through signing, which are taken before the camera with distinctive hard of hearing sign client. In proposed framework, we mean to perceive some extremely essential components of gesture based communication and to make an interpretation of them to content and the other way around. The proposed framework utilizing 36 Kannada letters in order for acknowledgment.