International Journal of Image, Graphics and Signal Processing(IJIGSP)
ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)
Published By: MECS Press
IJIGSP Vol.7, No.9, Aug. 2015
Symbolic Representation of Sign Language at Sentence Level
Full Text (PDF, 698KB), PP.49-60
In this paper, we propose a model for recognition of sign language being used by communication impaired people in the society. A novel method of extracting features from a video sequence of signs is proposed. Key frames are selected from a given video shots of signs to reduce the computational complexity yet retaining the significant information for recognition. A set of features is extracted from each key frame to capture the trajectory of hand movements made by the signer. The same sign made by different signers and by the same signers at different instances may have variations. The concept of symbolic data particularly interval type data is used to capture such variations and to efficiently represent signs in the knowledgebase. A suitable similarity measure is explored for the purpose of matching and recognition of signs. A database of signs made by communication impaired people of Mysore region is created and extensive experiments are conducted on this database to demonstrate the performance of the proposed approach.
Cite This Paper
Nagendraswamy H S, Chethana kumara B M, Guru D S, Naresh Y G,"Symbolic Representation of Sign Language at Sentence Level", IJIGSP, vol.7, no.9, pp.49-60, 2015.DOI: 10.5815/ijigsp.2015.09.07
Bahare Jalilian, Abdolah Chalechale,: Persian Sign Language Recognition Using Radial Distance and Fourier Transform", IJIGSP, vol.6, no.1, pp.40-46, 2014.DOI: 10.5815/ijigsp.2014.01.06
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