Methodology for Translation of Sign Language into Textual Version in Marathi
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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. www.iosrjournals.org
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.
H. Ali, A. Youssif, A. Aboutabl, “Arabic Sign Language (ArSL) Recognition System Using HMM”, in Conference (IJACSA), Volume 2, No. 11,2011.
G. Khurana, G. Joshi, J. Kaur, “Static Had A Gesture Recognition System uses Shape Based Features”, in Conference, IEEE, 2014, 978-1-4799-2291-8-/14.
T. Ayshee, S. Raka, Q. Hasib, Md. Hossian, R. Rahman, “ Fuzzy Rule-Based Hanf Gesture Recognition for Bangali Characters”, in IEEE International Advanced Computing Conference, 2014, 978-1-4799-2572-8/14.
D. Jain, A. Saxena, A. Singhal, “Sign Language Recognition Using Principal Component Analysis”, in IEEE Conference on Communication system and Network Technologies, 2014, 978-1-4799-3070-8/14.
G. Tofighi, N. Venetsanopoulos, K. Raahemifar, S. Beheshti, H. Mohammadi, “Hand Posture Recognition Using K-NN and Support Vector Machine Classifiers Evaluated on Our Proposed HandReader Dataset”, in Conference IEEE, 2013, 978-4673-5807-1/13.
K. Sarma, A. Chaudhari, A. Talukdar, “A Conditional Random Field Based Indian Sign Language Recognition System Under Complex Background”, in IEEE Conference on Communication Systems and Network Technologies, 2014, 978-1-4799-3070—8/14.
Amit kumar and Ramesh Kagalkar “ Advanced Marathi Sign Language Recognition using Computer Vision”, International Journal of Computer Applications (0975 – 8887) Volume-18 No. 13, May 2015.
Amit kumar and Ramesh Kagalkar “Sign Langauge recognition for Deaf User”, Internal Journal for Research in Applied Science and Engineering Technology, Volume-2 Issue XII, December 2014.
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