Sign language recognition is one of the most growing fields of research today and it is the most natural way of communication for the people with hearing problems. A hand gesture recognition system can provide an opportunity for deaf persons to communicate with vocal people without the need of an interpreter or intermediate. The system is built for the automatic recognition of Marathi sign language. Providing teaching classes for the purpose of training the deaf sign user in Marathi. The system can train new user who is unaware of the sign language and the training will be provided through offline mode. In which user can learn sign language with the help of database containing predefined sign language alphabets as well as words. A large set of samples has been used in proposed system to recognize isolated words from the standard Marathi sign language which are taken using camera. The system contains forty-six Marathi sign language alphabets and around 500 words of sign language are taken. Considering all the sign language alphabets and words, the database contains 1000 different gesture images. The proposed system intend to recognize some very basic elements of sign language and to translate them to text and vice versa.

1. 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.
2. 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.
3. G. Khurana, G. Joshi, J. Kaur, "Static Had Gesture Recognition System using Shape Based Features", in Conference IEEE, 2014, 978-1-4799- 2291-8-/14.
4. 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.
5. 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.
6. 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.
7. M. Mohandes, M. Deriche, J. Liu, "A Survey of Image-Based Arabic Sign Language Recognition", in Conference IEEE, 2014, 978-1- 4799-3866-7/14.
8. 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.
9. J. Singha, K. Das, "Indian Sign Language Recognition Using Eigen Value Weighted Euclidean Distance Based Classification Technique", in Conference (IJCSA) vol. 4 No. 2, 2014.
10. K. Modi, A. More, "Translation of Sign Language Finger-Spelling to Text using Image Processing", in Conference (IJCA) volume-77, No- 11, September, 2013.
11. M. Charkari, A. Barkoky, "Parisian Sign Language Number Recognition Using Thinning Method", in Conference (IJMT) vol-2, No-1, 2012.
12. 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
13. R. Mapari, Dr. Kharat, "Hand Gesture Recognition using Neural Network", in Conference (IJCSN), Volume 1, Issue 6, December 2012.
14. N. El-Bendary, M. Zawbaa, S. Daoud, "ArSLAT: Arabic Sign Language Alphabets Translator", in Conference (IJCISIMA), Volume 3, 2011.
15. H. Ali, A. Youssif, A. Aboutabl, "Arabic Sign Language (ArSL) Recognition System Using HMM", in Conference (IJACSA), Volume 2, No. 11,2011.
16. S. Mitra, T. Acharya, "Gesture Recognition: A Survey", in Proc. IEEE Transaction on Systems, Man, and Cybernetics-Part C:Application and Reviews, Vol. 37, No. 3, May 2007.
17. J. Lin, Y. Wu, and T. Huang, "3D model-based hand tracking using stochastic direct search method," in Proc. IEEE Int. Conf. Face and Gesture Recognition, Seoul, Korea, 2004, pp. 693–698.
18. G. Kharate, A. Ghotkar, "Study of Vision Based Hand Gesture Recognition using Indian Sign Language", in Conference (IJSIS), Volume 7, Issue 1,March 2014.

Marathi Sign Language Human Computer Interaction Marathi Alphabet Marathi Word Preprocessing Pattern Recognition And Pattern Matching.