Open Access Open Access  Restricted Access Subscription or Fee Access

New Frame Work for Translation of Sign Language Action into Text Description in Kannada

Ramesh M. Kagalkar, Dr. S.V Gumaste

Abstract


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.


Keywords


Kannada Sign Language, Hand Gesture Recognition, Canny’s Edge Detection, Processing, Feature Extraction, Pattern Recognition/Matching, Gray Scale Image, Database.

Full Text:

PDF

References


M. Mohandes, M. Deriche, J. Liu, ―Image-Based and Sensor-Based Approaches to Arabic Sign Language Recognition ,‖ in Proc. IEEE Transaction on Human Machine System, 2014, pp. 2168–2291.

P. Nanivadekar, V. Kulkarni, ―Indian Sign Language Recognition: Database Creation, Hand Tracking and Segmentation‖ in IEEE Conference on Circuits, Systems, Communication and information Technology Applications, 2014, 978-1-4799-2494-3/14.

K. Modi, A. More, Translation of Sign Language Finger-Spelling to Text using Image Processing‖, in Conference (IJCA) volume-77, No- 11, September, 2013.

M. Charkari, A. Barkoky, Parisian Sign Language Number Recognition Using Thinning Method‖, in Conference (IJMT) vol-2, No-1, 2012.

Md. Rahman, Md. Abdullah, S. Mondal, Recognition of Static Hand Gesture of Alphabet in Bangla Sign Language‖, in Conference (IOSRJCE), volume-8, Issue 1, Nov-Dec-2012.

R. Mapari, Dr. Kharat, ―Hand Gesture Recognition using Neural Network‖, in Conference (IJCSN), Volume 1, Issue 6, December 2012.

N. El-Bendary, M. Zawbaa, S. Daoud, ArSLAT: Arabic Sign Language Alphabets Translator‖, in Conference (IJCISIMA), Volume 3, 2011.

Amitkumar Shinde and Ramesh M. Kagalkar, “Sign Language Recognition for Deaf Sign User”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ©IJRASET, Volume 2 Issue XII, December, ISSN: 2321-9653, 2014.

Amitkumar Shinde and Ramesh M. Kagalkar,” Advanced Marathi Sign Language Recognition using Computer Vision”, International Journal of Computer Applications, (ISSN:0975 – 8887) , Volume 118, No. 13, May 2015.

Rashmi. B. Hiremath and Ramesh. M. Kagalkar, “Methodology for Sign Language Video Interpretation in Hindi Text Language”, International Journal of Innovative Research in Computer and Communication Engineering, Volume. 4, Issue 5, May 2016.

Rashmi. B. Hiremath and Ramesh. M. Kagalkar,” Sign Language Video Processing for Text Detection in Hindi Language”, International Journal of Recent Contributions from Engineering, Science and IT, Volume 4, No 3, 2016.

Rashmi. B. Hiremath and Ramesh. M. Kagalkar” A Methodology for Sign Language Video Analysis and Translation into Text in Hindi Language”, CiiT International Journal of Fuzzy Systems, Volume 8, No 5, 2016.

Ramesh M. Kagalkar and Dr. S.V. Gumaste, “Review Paper: Detail Study for Sign Language Recognition Techniques” CiiT international journal of Digital Image Processing, Volume 8, No 3 (2016)

Ramesh M. Kagalkar, Dr. Nagaraj H.N and Dr. S.V Gumaste, “A Novel Technical Approach for Implementing Static Hand Gesture Recognition”, International Journal of Advanced Research in Computer and Communication Engineering, Voume l. 4, Issue 7, July 2015.

Ramesh M. Kagalkar, Dr. Nagaraj H.N,” New Methodology for Translation of Static Sign Symbol to Words in Kannada Language”, International Journal of Computer Applications (ISSN: 0975 – 8887) Volume 121 – No.20, July 2015.

Ramesh M. Kagalkar and S.V Gumaste, "Gradient Based Key Frame Extraction for Continuous Indian Sign Language Gesture Recognition and Sentence Formation in Kannada Language: A Comparative Study of Classifiers", International Journal of Computer Sciences and Engineering, Volume-04, Issue-09, Page No (1-11), Sep -2016, E-ISSN: 2347-2693.

Amit kumar and Ramesh Kagalkar, “Methodology for Translation of Sign Language into Textual Version in Marathi”, CiiT, International Journal of Digital Image Processing, Volume 07, No.08, Aug 2015.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.