Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition
Joint Authors
Source
Advances in Human-Computer Interaction
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The capability of lower order Krawtchouk moment-based shape features has been analyzed.
The behaviour of 1D and 2D Krawtchouk polynomials at lower orders is observed by varying Region of Interest (ROI).
The paper measures the effectiveness of shape recognition capability of 2D Krawtchouk features at lower orders on the basis of Jochen-Triesch’s database and hand gesture database of 10 Indian Sign Language (ISL) alphabets.
Comparison of original and reduced feature-set is also done.
Experimental results demonstrate that the reduced feature dimensionality gives competent accuracy as compared to the original feature-set for all the proposed classifiers.
Thus, the Krawtchouk moment-based features prove to be effective in terms of shape recognition capability at lower orders.
American Psychological Association (APA)
Kaur, Bineet& Joshi, Garima. 2016. Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition. Advances in Human-Computer Interaction،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1095121
Modern Language Association (MLA)
Kaur, Bineet& Joshi, Garima. Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition. Advances in Human-Computer Interaction No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1095121
American Medical Association (AMA)
Kaur, Bineet& Joshi, Garima. Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition. Advances in Human-Computer Interaction. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1095121
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095121
