Random Articles
Reseach Article
Novel Technique for Background Removal from Sign Images for Sign Language Recognition System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 78 - Number 10 |
| Year of Publication: 2013 |
| Authors: Sudeep D. Thepade, Arati Narkhede, Priti Kelvekar, Gandhali Kulkarni, Seema Tathe |
10.5120/13523-1203
|
Sudeep D. Thepade, Arati Narkhede, Priti Kelvekar, Gandhali Kulkarni, Seema Tathe . Novel Technique for Background Removal from Sign Images for Sign Language Recognition System. International Journal of Computer Applications. 78, 10 ( September 2013), 7-10. DOI=10.5120/13523-1203
Abstract
The Sign Language Recognition (SLR) system involves recognition of signs and their translation into normal spoken language. The hearing and speech impaired people are deeply associated with Sign Language as it is their fundamental medium of communication. Although such people can easily communicate amongst themselves, they face a serious challenge when they try to integrate into the educational, social and work environments around. The Sign Language Recognition system intends in breaking down the communication barrier between the people who use Sign Language as their only means of communication and others who do not know sign language. Non-uniform background in the edge images is a major challenge for object detection using Gradient operators. The paper discusses a novel technique for background removal in Sign Language Recognition System using the edge images of the ASL signs and morphological operations. Edge sign images are obtained by applying gradient masks (such as Sobel operator) and Slope Magnitude Method. Further with the help of these edge images and morphological operations background is removed. The proposed technique is tested on a generic image database with 312 images.
References
- Vaishali S. Kulkarni and Dr. S. D. Lokhande "Appearance Based Recognition of American Sign Language Using Gesture Segmentation" Vol. 02, No. 03, 2010.
- Kenny Teng, Jeremy Ng, Shirlene Lim "Computer Vision Based Sign Language Recognition for Numbers Finger".
- Ravikiran J, Kavi Mahesh, Suhas Mahishi, Dheeraj R, Sudheender S, Nitin V Pujari "Detection for Sign Language Recognition" International Multi Conference of Engineers and Computer Scientists 2009 Vol I IMECS 2009, March 18 - 20, 2009.
- Helene Brashear, Valerie Henderson, Kwang-Hyun Park, Seungyon Lee "American Sign Language Recognition in Game Development for Deaf Children".
- Dr. H. B. Kekre, Dr. Sudeep Thepade, Priyadarshini Mukherjee, Miti Kakaiya, Shobhit Wadhwa, Satyajit Singh. "Image Retrieval with Shape Features Extracted using Gradient Operators and Slope Magnitude Technique with BTC", International Journal of Computer Applications (0975 – 8887) Volume 6– No. 8, September 2010.
- Dr. H. B. Kekre, Dr. Sudeep Thepade, Priyadarshini Mukherjee, Shobhit Wadhwa, Miti Kakaiya, Satyajit Singh. "Image Retrieval with Shape Features Extracted using morphological Operators with BTC" International Journal of Computer Applications (0975 – 8887) Volume 12– No. 3, November 2010.
- Vladimir Vezhnevets, VassiliSazonov, AllaAndreeva "A Survey on Pixel-Based Skin Color Detection Technique" International Conference Graphicon, 2003.
- Mohamed Alsheakhali, Ahmed Skaik, Mohammed Aldahdouh, Mahmoud Alhelou "Hand Gesture Recognition System".
Index Terms
Keywords