A Survey of Sign Recognition Approaches for Indian Sign Language

Authors(2) :-Twinkal H. Panchal, Pradip R. Patel

Sign Language (SL) is a communication tool for deaf & dumb people. It is a subset of gestures made with fingers, hands, and face etc. Each gesture in SL has a particular meaning & that is assigned to it. Deaf person directly not communicate with the normal person because normal person never try to learn the sign language. To solve this problem, there exists a need of system that can recognize gesture. Different country has different sign languages. For India, this is called as “Indian Sign Language (ISL)”. Only little research work has been carried out in this area for ISL. Several methods have been used to recognize of ISL alphabets and numerals. Many of them method is used to recognize static gesture. Only few works have been reported for dynamic gesture recognition of ISL. The mainly four steps are involved to recognize the sign: gesture acquisition, tracking and segmentation, feature extraction and gesture recognition. This paper presents a survey on various sign recognition approaches for ISL.

Authors and Affiliations

Twinkal H. Panchal
M.E. Student (Information Technology Department), L.D. College of Engineering, Gujarat Technological University, Ahmedabad, Gujarat, India
Pradip R. Patel
Assistant Professor (Information Technology Department), L.D. College of Engineering, Gujarat Technological University, Ahmedabad, Gujarat, India

Indian Sign Language, Gesture acquisition, Hand Gesture Recognition, Segmentation, Feature Extraction

  1. Website: Http: // censusindia.gov.in / Census_And_You/ disabled_population.aspx.
  2. Dutta, KusumikaKrori, “Double handed Indian Sign Language to speech and text.” 2015 Third International Conference on Image Information Processing (ICIIP). IEEE, 2015. pp. 374-377.
  3. AditiKalsh, N.S. Garewal,” Sign Language Recognition System for Deaf and Dumb”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, Issue. 9, pp. 103-106.
  4. JoyeetaSingha , Karen das , “Indian Sign Language Recognition using Eigen Value Weighted Euclidean Distance based Classification Technique”,2013 International Journal of Advanced Computer Science and Applications(IJACSA),2013.
  5. SurbhiRathi and UjwallaGawande, “Development of Full Duplex Intelligent Communication System for Deaf and Dumb People,”  2017 IEEE7th International Conference on Cloud Computing, Data Science & Engineering – Confluence ,pp.733-738.
  6. P. C. Badhe and V. Kulkarni, "Indian sign language translator using gesture recognition algorithm," 2015 IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS), Bhubaneswar, 2015, pp. 195-200.
  7. Bhumika Gupta, PushkarShukla ,Ankush Mittal , “K-Nearest Correlated Neighbour Classification for Indian Sign Language Gesture Recognition using Feature Fusion”, 2016 International Conference on Computer Communication and Informatics(ICCCI),2016.
  8. V. Adithya, P. R. Vinod and U. Gopalakrishnan, "Artificial neural network based method for Indian sign language recognition," Information & Communication Technologies (ICT), 2013 IEEE Conference on, JeJu Island, 2013, pp. 1080-1085.
  9. Shreyashi Narayan Sawant and M. S. Kumbhar ,“Real Time Sign Language Recognition using PCA”, 2014 IEEE International Conference on Advanced Communication Control and Computing Technologies (lCACCCT),2014.
  10. BhumikaPathak, Subhash Chand Agrawal , Anand Singh Jalal, CharulBhatnagar , “ A Framework For Dynamic Hand Gesture Recognition Using Key Frames Extraction” 2015 IEEE.
  11. Juhi Ekbote,Mahasweta joshi, “A survey on Hand gesture recognition for Indian Sign Language”International Research journal of Engineering and Technology (IRJET) 2016.

Publication Details

Published in : Volume 4 | Issue 2 | January-February 2018
Date of Publication : 2018-01-20
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 11-16
Manuscript Number : IJSRSET184203
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Twinkal H. Panchal, Pradip R. Patel, " A Survey of Sign Recognition Approaches for Indian Sign Language, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.11-16 , January-February.2018
URL : http://ijsrset.com/IJSRSET184203

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