The week's pick
Random Articles
Reseach Article
A Review on Indian Sign Language Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 73 - Number 22 |
| Year of Publication: 2013 |
| Authors: Anuja V. Nair, Bindu V |
10.5120/13037-0260
|
Anuja V. Nair, Bindu V . A Review on Indian Sign Language Recognition. International Journal of Computer Applications. 73, 22 ( July 2013), 33-38. DOI=10.5120/13037-0260
Abstract
Automatic Sign Language Recognition is an extensive research area in the field of human computer interaction. Such recognition systems are meant to replace sign language interpreters. With the development of image processing and artificial intelligence techniques, many techniques have been recently developed in this area. Most of the signs in Indian Sign Language (ISL) are double handed and hence it is more complex compared to single handed American Sign Language (ASL). So, most of the researchers use ASL signs for creating their database. Recently, researchers from India have started working on ISL to develop automatic Indian sign language recognition systems. Mainly three steps are involved in sign language recognition-preprocessing, feature extraction and classification. The important classification methods used for recognition are Artificial Neural Networks (ANN), Support Vector Machine (SVM), Hidden Markov Models (HMM) etc.
References
- Noor Adnan Ibraheem, RafiqulZaman Khan, 2012, Survey on Various Gesture Recognition Technologies and Techniques, International Journal of Computer Applications, Volume 50, No. 7
- Ping-Sung Liao, Tse-Sheng Chen, Pau-Choo Chung, 2001, A Fast Algorithm for Multilevel Thresholding, Journal of Information Science and Engineering 17, pp. 713-727
- Dr. Alan M McIvor, Background subtraction techniques, Image and Vision Computing Newz Zealand 2000 (IVCNZ00)
- Son Lam Phung, Abdesselam Bouzerdoum, and Douglas Chai, Skin Segmentation Using Color and Edge Information, Proceedings on International Symposium on Signal Processing and its Applications, 1-4 July 2003, Paris, France
- Jorge Badenas, Josee Miguel Sanchiz, Filiberto Pla, 2001, Motion-based Segmentation and Region Tracking in Image Sequences, Pattern recognition 34, pp. 661-670
- Sanjay Kumar and Dinesh K. Kumar, 2005, Visual Hand Gestures classification Using Wavelet Transform and Moment Based Features, International Journal of Wavelets, Multiresolution and Information Processing, Volume 3, Issue 1
- Qing Chen, Nicolas D. Georganas, Emil M. Petriu, Real-Time Vision-based Hand Gesture Reconition Using Haar-Like Features, Instrumentation and Measurement Technology Conference-IMTC 2007, Parsaw, Poland, May 1-3
- J. Rekha, J. Bhattacharya, and S. Majumder, Shape,Texture and Local Movement Hand Gesture Features for Indian Sign language Recognition, 3rd International Conference on Trendz in Information Sciences and Computing, 8-9 Dec, 2011
- Hyung-Ji Lee, Jae-Ho Chung, Hand Gesture Recognition Using orientation histogram, TENCON 99, Proceedings of the IEEE Region 10 Conference, 1999
- Chieh-Chih Wang and Ko-Chih Wang, Hand Posture Recognition Using Adaboost with SIFT for Human Robot Interaction, Recent Progress in Robotics, LNCIS 370, pp. 317-329, 2008
- Deng-Yuan Huang, Wu-Chih Hu, Sung-Hsiang Chang, Vision-Based hand Gesture Recognition Using PCA+Gabor Filters and SVM, Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2009
- Anup Nandy, Soumik Mondal, Jay Shankar Prasad, Pavan Chakraborty and G. C. Nandi, 2010 Recognizing & Interpreting Indian Sign Language Gesture for Human Robot Interaction, International Conf. on Computer & Communication Technology, 2010 |ICCCT'10|, pp. 712-717
- Qing-song Zhu, Yao-qin Xie, Lei Wang (2010) Video Object Segmentation by Fusion of Spatio-Temporal Information Based on Gaussian Mixture Model, Bulletin of advanced technology research, vol. 5, No. 10, pp 38-43.
- P. V. V Kishore, P. Rajesh Kumar, E. Kiran Kumar & S. R. C. Kishore, 2011, Video Audio Interface for Recognizing Gestures of Indian Sign Language, International Journal of Image Processing (IJIP), Volume 5, Issue 4, 2011 pp. 479-503
- Himanshu Lilha, Devashish Shivmurthy, 2011, "Evaluation of Features for Automated Transcription of Dual- Handed Sign Language Alphabets", International Conference on Image Information Processing (ICIIP ), 3-5 Nov. 2011
- P. V. V. Kishore, P. Rajesh Kumar, 2012, A Model For Real Time Sign Language Recognition System, International Journal of Advanced Research in Computer Science and Software Engineering Volume 2, Issue 6, June 2012 pp. 30-35
- P. V. V. Kishore and P. Rajesh Kumar, 2012, Video Based Indian Sign Language Recognition System (INSLR) Using Wavelet Transform and Fuzzy Logic, IACSIT International Journal of Engineering and Technology, Vol. 4, No. 5, October 2012 pp. 537-542.
- P. V. V. Kishore, P. Rajesh Kumar,2012, Segment, Track, Extract, Recognize and Convert Sign Language Videos to Voice/Text, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No. 6, pp. 35-47
- Geetha M. , Manjusha U. C. 2013,A Vision Based Recognition of Indian Sign Language Alphabets and Numerals Using B-Spline Approximation, International Journal of Computer Science and Engineering (IJCSE)
- Tie Yang, Yangsheng Xu, 1994, Hidden Markov Model for Gesture recognition
- Aseema Sultana, T. Rajapushpa, Vision Based Gesture Recognition for Alphabetical Hand gestures Using the SVM Classifier, International Journal of Computer Science and Engineering Technology, Volume 3, No. 7, 2012
Index Terms
Keywords