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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Phuong-Dat Le Vinh-Hao Nguyen |
| Copyright Year | 2013 |
| Description | Author affiliation: Fac. of Electr. & Electron. Eng., HoChiMinh City Univ. of Technol., Ho Chi Minh City, Vietnam (Phuong-Dat Le; Vinh-Hao Nguyen) |
| Abstract | This paper proposes a real time finger writing recognition system using a web camera to enable user to interact with computer systems by their own bare hands. The hand region is firstly extracted by background subtraction and blob labeling. Then, convex hull and convexity defect are used to count the fingers and detect the fingertip coordinates. The trajectory of the fingertip is smoothed and drawn to become a finger writing character. Next, it is recognized by the Support Vector Machine classifier, which is trained with our collected database and specific parameters for finger writing recognition. Finally, the event corresponding to the character is sent to the computer systems. Experimental results show that the proposed system can successfully count the fingers and recognize the finger writing English characters with the accuracies of 98.3% and 83.4% respectively. |
| Starting Page | 58 |
| Ending Page | 63 |
| File Size | 558657 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479905690 |
| e-ISBN | 9781479905720 |
| DOI | 10.1109/ICCAIS.2013.6720530 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-25 |
| Publisher Place | Vietnam |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Government Thumb Writing Cameras Trajectory |
| Content Type | Text |
| Resource Type | Article |
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