Presentation | 2012-08-28 Real-time Finger Character Recognition using Range Image Kai INOUE, Takeshi SAITOH, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a real-time method for recognizing finger character using range image. At first, we automatically extract the right hand region from range image which captured by Microsoft Kinect. Secondly we define sixe features of area ratio, aspect ratio, roundness, Foureir descriptor, number of figure, and range ratio, and these features are fed to SVMs. In order to prevent wrong recognition in a real-time process, we implement two functions of motionless judge and voting process. We set 41 Japanese finger characters without a motion as the target, and the evaluation experiment was carried out to one subject. As the result, we obtained the recognition rate of 82%. Moreover, there were 30 characters which acquired the recognition rate of 90% or more, and it was shown that our method is effective. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Finger character / range image / SVM / Kinect |
Paper # | LOIS2012-27,IE2012-59,EMM2012-50 |
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Conference Information | |
Committee | LOIS |
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Conference Date | 2012/8/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Life Intelligence and Office Information Systems (LOIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Real-time Finger Character Recognition using Range Image |
Sub Title (in English) | |
Keyword(1) | Finger character |
Keyword(2) | range image |
Keyword(3) | SVM |
Keyword(4) | Kinect |
1st Author's Name | Kai INOUE |
1st Author's Affiliation | Dept. of System Design and Informatics, Kyushu Institute of Technology() |
2nd Author's Name | Takeshi SAITOH |
2nd Author's Affiliation | Dept. of System Design and Informatics, Kyushu Institute of Technology |
Date | 2012-08-28 |
Paper # | LOIS2012-27,IE2012-59,EMM2012-50 |
Volume (vol) | vol.112 |
Number (no) | 188 |
Page | pp.pp.- |
#Pages | 6 |
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