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Sign language recognition

2007 9th International Symposium on Signal Processing and Its Applications, 2007
In this paper, an image processing algorithm is presented for the interpretation of the Taiwanese sign language, which is one of the sign languages used by the majority of the deaf community. The process involves two layer classifications. At first, coarse classification is done according to detection of hand motion and tracking the hand location and ...
Maryam Pahlevanzadeh   +2 more
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Sign language recognition

2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016
This paper presents a novel system to aid in communicating with those having vocal and hearing disabilities. It discusses an improved method for sign language recognition and conversion of speech to signs. The algorithm devised is capable of extracting signs from video sequences under minimally cluttered and dynamic background using skin color ...
Anup Kumar   +2 more
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Australian sign language recognition

Machine Vision and Applications, 2005
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and extracts features for the recognition of sign phrases. Tracking is performed using correspondences of simple geometrical features between the target objects within the current ...
Holden, E-J, Lee, G., Owens, R.
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Sign language recognition system

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015
Sign language is the preferred method of communication among the deaf and the hearing impaired people all over the world. Recognition of sign language can have varying degree of success when used in a computer vision or any other methods. Sign language is said to have a structured set of gestures in which each gesture is having a specific meaning.
Priyanka C Pankajakshan   +1 more
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Sign Language Number Recognition

2009 Fifth International Joint Conference on INC, IMS and IDC, 2009
Sign language number recognition system lays down foundation for handshape recognition which addresses real and current problems in signing in the deaf community and leads to practical applications. The input for the sign language number recognition system is 5000 Filipino Sign Language number video file with 640 x 480 pixels frame size and 15 frame ...
Iwan Njoto Sandjaja, Nelson Marcos
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Indian sign language recognition

2012 1st International Conference on Emerging Technology Trends in Electronics, Communication & Networking, 2012
Understanding human motions can be posed as a pattern recognition problem. Applications of pattern recognition in information processing problems are diverse ranging from Speech, Handwritten character recognition to medical research and astronomy. Humans express time-varying motion patterns (gestures), such as a wave, in order to convey a message to a ...
Divya Deora, Nikesh Bajaj
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Sign Language Recognition

2002
Wen Gao, Chunli Wang
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Sign Language Recognition (SLR)

Gurukul International Multidisciplinary Research Journal
Abstract— Sign Language is mainly used by deaf (hard hearing) and dumb people to exchange information between their own community and with other people. It is a language where people use their hand gestures to communicate as they can’t speak or hear. Sign Language Recognition (SLR) deals with recognizing the hand gestures acquisition and continues till
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