Design and analysis of American sign language classifier based on n-tuple technique
Joint Authors
al-Muifraje, Mahmud H.
Hasan, Musab A.
Said, Thamir R.
Source
Engineering and Technology Journal
Issue
Vol. 36, Issue 2A (28 Feb. 2018), pp.172-178, 7 p.
Publisher
Publication Date
2018-02-28
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This work consists of three stages: the first stage is the collection of data (images) for 26 letters alphabet, which is 1040 images, 40 for each class (letter).
The second stage is the Preprocessing (segmentation, filtering, crop, convert to a binary image and feature extraction) and the last stage is the classy one.
Two filters have been used median and wiener2 to treatment two types of noise; the salt and pepper and Gaussian noise respectively.
The classification has been satisfied by using an n-tuple classifier algorithm is 93.8462%, while it is 93.2692% with salt and pepper noise.
In this context, the recognition is 94.2308% when the median filter is used for salt & Pepper noise, while, it is 93.8462% when to use a Wiener2 filter with Gaussian noise.
The optimal tuple size is 4, and suitable training pattern is 40 per each class.
American Psychological Association (APA)
al-Muifraje, Mahmud H.& Said, Thamir R.& Hasan, Musab A.. 2018. Design and analysis of American sign language classifier based on n-tuple technique. Engineering and Technology Journal،Vol. 36, no. 2A, pp.172-178.
https://search.emarefa.net/detail/BIM-832197
Modern Language Association (MLA)
al-Muifraje, Mahmud H.…[et al.]. Design and analysis of American sign language classifier based on n-tuple technique. Engineering and Technology Journal Vol. 36, no. 2A (2018), pp.172-178.
https://search.emarefa.net/detail/BIM-832197
American Medical Association (AMA)
al-Muifraje, Mahmud H.& Said, Thamir R.& Hasan, Musab A.. Design and analysis of American sign language classifier based on n-tuple technique. Engineering and Technology Journal. 2018. Vol. 36, no. 2A, pp.172-178.
https://search.emarefa.net/detail/BIM-832197
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 178
Record ID
BIM-832197