Presentation 2013-01-25
A Study on Finger Character Recognition using Kinect
Kai INOUE, Takeshi SAITOH,
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Abstract(in English) We propose a finger character recognition method using Microsoft Kinect In our proposed method, we automatically extract the right hand region from depth image which captured by Kinect Next, we calculate six features of number of finger, aspect ratio, area ratio between bounding rectangle and hand region, roundness, range ratio, and Foureir descriptors These features are fed to SVMs In order to prevent wrong recognition in a real-time process, we implement two functions of motionless judge process and voting process We set 41 Japanese finger characters without a motion as the recognition target, and the evaluation experiments were carried out with five subjects As the results, we obtained the recognition rate of 95% of person dependent recognition, and 53% of person independent recognition.
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Keyword(in English) Finger character recognition / depth image / features / SVM / Kinect
Paper # MBE2012-81
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Conference Information
Committee MBE
Conference Date 2013/1/18(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Finger Character Recognition using Kinect
Sub Title (in English)
Keyword(1) Finger character recognition
Keyword(2) depth image
Keyword(3) features
Keyword(4) SVM
Keyword(5) 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 2013-01-25
Paper # MBE2012-81
Volume (vol) vol.112
Number (no) 417
Page pp.pp.-
#Pages 6
Date of Issue