Real-Time Hand Gesture Recognition Using Finger Segmentation
Hand gesture recognition is very significant for human-computer interaction. In this work, we present a novel real-time method for hand gesture recognition. In our framework, the hand region is extracted from the background with the background subtraction method. Then, the palm and fingers are segme...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/267872 |
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| _version_ | 1849413414526386176 |
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| author | Zhi-hua Chen Jung-Tae Kim Jianning Liang Jing Zhang Yu-Bo Yuan |
| author_facet | Zhi-hua Chen Jung-Tae Kim Jianning Liang Jing Zhang Yu-Bo Yuan |
| author_sort | Zhi-hua Chen |
| collection | DOAJ |
| description | Hand gesture recognition is very significant for human-computer interaction. In this work, we present a novel real-time method for hand gesture recognition. In our framework, the hand region is extracted from the background with the background subtraction method. Then, the palm and fingers are segmented so as to detect and recognize the fingers. Finally, a rule classifier is applied to predict the labels of hand gestures. The experiments on the data set of 1300 images show that our method performs well and is highly efficient. Moreover, our method shows better performance than a state-of-art method on another data set of hand gestures. |
| format | Article |
| id | doaj-art-6ee4e40cee3d4a499785c0cd374635be |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-6ee4e40cee3d4a499785c0cd374635be2025-08-20T03:34:08ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/267872267872Real-Time Hand Gesture Recognition Using Finger SegmentationZhi-hua Chen0Jung-Tae Kim1Jianning Liang2Jing Zhang3Yu-Bo Yuan4Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, ChinaDepartment of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, ChinaDepartment of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, ChinaDepartment of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, ChinaDepartment of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, ChinaHand gesture recognition is very significant for human-computer interaction. In this work, we present a novel real-time method for hand gesture recognition. In our framework, the hand region is extracted from the background with the background subtraction method. Then, the palm and fingers are segmented so as to detect and recognize the fingers. Finally, a rule classifier is applied to predict the labels of hand gestures. The experiments on the data set of 1300 images show that our method performs well and is highly efficient. Moreover, our method shows better performance than a state-of-art method on another data set of hand gestures.http://dx.doi.org/10.1155/2014/267872 |
| spellingShingle | Zhi-hua Chen Jung-Tae Kim Jianning Liang Jing Zhang Yu-Bo Yuan Real-Time Hand Gesture Recognition Using Finger Segmentation The Scientific World Journal |
| title | Real-Time Hand Gesture Recognition Using Finger Segmentation |
| title_full | Real-Time Hand Gesture Recognition Using Finger Segmentation |
| title_fullStr | Real-Time Hand Gesture Recognition Using Finger Segmentation |
| title_full_unstemmed | Real-Time Hand Gesture Recognition Using Finger Segmentation |
| title_short | Real-Time Hand Gesture Recognition Using Finger Segmentation |
| title_sort | real time hand gesture recognition using finger segmentation |
| url | http://dx.doi.org/10.1155/2014/267872 |
| work_keys_str_mv | AT zhihuachen realtimehandgesturerecognitionusingfingersegmentation AT jungtaekim realtimehandgesturerecognitionusingfingersegmentation AT jianningliang realtimehandgesturerecognitionusingfingersegmentation AT jingzhang realtimehandgesturerecognitionusingfingersegmentation AT yuboyuan realtimehandgesturerecognitionusingfingersegmentation |