Presentation 2012-08-28
Real-time Finger Character Recognition using Range Image
Kai INOUE, Takeshi SAITOH,
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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.
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Keyword(in English) Finger character / range image / SVM / Kinect
Paper # LOIS2012-27,IE2012-59,EMM2012-50
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Committee LOIS
Conference Date 2012/8/20(1days)
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Registration To Life Intelligence and Office Information Systems (LOIS)
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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