[1]LI Yang,LIU Fu,KANG Bing,et al.Hand shape recognition algorithm based on finger contour[J].CAAI Transactions on Intelligent Systems,2016,11(1):99-103.[doi:10.11992/tis.201506039]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
11
Number of periods:
2016 1
Page number:
99-103
Column:
学术论文—机器感知与模式识别
Public date:
2016-02-25
- Title:
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Hand shape recognition algorithm based on finger contour
- Author(s):
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LI Yang1; 2; LIU Fu2; KANG Bing2; GAO Lei2
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1. College of Electrical Engineering, Changchun Automobile Industry Institute, Changchun 130011, China;
2. College of Communication Engineering, Jilin University, Changchun 130022, China
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- Keywords:
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hand shape recognition; hand positioning; contour fitting; outline overlap; area coincidence ratio
- CLC:
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TP391.4
- DOI:
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10.11992/tis.201506039
- Abstract:
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To solve the low-stability problem of palm shape in hand shape recognition, this study presents a type of hand shape recognition algorithm based on a finger contour. First, the algorithm separates the five fingers from a hand and then locates the finger central axis by fitting the finger contour. By overlapping the registered finger contour and the finger contour to be recognized on basis of the finger central axis, the algorithm then calculates the area proportion of finger overlap regions. Compared with other hand recognition algorithms, the recognizability rate can reach 99.890% in the experiment. The study takes full advantage of the high stability of the finger contour and avoids high instability of the finger root contour.