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| Content Provider | Springer Nature Link |
|---|---|
| Author | Jeong, Jinwoo Jang, Yoonhee |
| Copyright Year | 2014 |
| Abstract | There have been many developments and applications based on hand posture recognition to make human–computer interaction/interfaces more convenient and effective. And, many of these applications are based on the image-processing technique since it can guarantee more information and more flexibility for processing. To develop a hand posture recognition system, the proper extraction of pure hand region is a very important step since it is much related with the final performance and recognition rate. But, by the noisy data due to the illumination, image resolution, and non-uniform distribution of skin colors which could be easily found in real environments, it is not easy to extract the pure hand region exactly. In this research, a simple and effective algorithm for hand cropping, named as max–min hand cropping, is proposed and compared with some of the previous research. Finally, the effectiveness of the proposed method is verified with 152 different hand images from 8 persons and 19 hand postures. |
| Starting Page | 815 |
| Ending Page | 818 |
| Page Count | 4 |
| File Format | |
| ISSN | 14327643 |
| Journal | Soft Computing |
| Volume Number | 19 |
| Issue Number | 4 |
| e-ISSN | 14337479 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2014-08-07 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Max–min hand cropping Hand region extraction Hand posture recognition Human–computer interaction Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Software Geometry and Topology |
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