Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition
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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Human-Computer Interaction |
| Online Access: | http://dx.doi.org/10.1155/2016/6727806 |
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| _version_ | 1832554399211192320 |
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| author | Bineet Kaur Garima Joshi |
| author_facet | Bineet Kaur Garima Joshi |
| author_sort | Bineet Kaur |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-f0fb0793049242f2895ef635febc5eca |
| institution | Kabale University |
| issn | 1687-5893 1687-5907 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Human-Computer Interaction |
| spelling | doaj-art-f0fb0793049242f2895ef635febc5eca2025-02-03T05:51:39ZengWileyAdvances in Human-Computer Interaction1687-58931687-59072016-01-01201610.1155/2016/67278066727806Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture RecognitionBineet Kaur0Garima Joshi1Department of Electronics and Communication Engineering, University Institute of Engineering and Technology, Panjab University, Sector 25, Chandigarh 160036, IndiaDepartment of Electronics and Communication Engineering, University Institute of Engineering and Technology, Panjab University, Sector 25, Chandigarh 160036, IndiaThe 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.http://dx.doi.org/10.1155/2016/6727806 |
| spellingShingle | Bineet Kaur Garima Joshi Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition Advances in Human-Computer Interaction |
| title | Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition |
| title_full | Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition |
| title_fullStr | Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition |
| title_full_unstemmed | Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition |
| title_short | Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition |
| title_sort | lower order krawtchouk moment based feature set for hand gesture recognition |
| url | http://dx.doi.org/10.1155/2016/6727806 |
| work_keys_str_mv | AT bineetkaur lowerorderkrawtchoukmomentbasedfeaturesetforhandgesturerecognition AT garimajoshi lowerorderkrawtchoukmomentbasedfeaturesetforhandgesturerecognition |