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http://dx.doi.org/10.6109/jkiice.2017.21.10.1892

Finger Counting Algorithm in the Hand with Stuck Fingers  

Oh, Jeong-su (Department of Display Engineering, Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.10, 2017 , pp. 1892-1897 More about this Journal
Abstract
This paper proposes a finger counting algorithm for a hand with stuck fingers. The proposed algorithm is based on the fact that straight line type shadows are inevitably generated between fingers. It divides the hand region into the thumb region and the four fingers region for effective shadow detection, and generates an edge image in each region. Projection curves are generated by appling a line detection and a projection technique to each edge image, and the peaks of the curves are detected as candidates for finger shadows. And then peaks due to finger shadows are extracted from them and counted. In the finger counting experiment on hand images expressing various shapes with stuck fingers, the counting success rate is from 83.3% to 100% according to the number of fingers, and 93.1% on the whole. It also shows that if hand images are generated under controlled conditions, the failure cases can be sufficiently improved.
Keywords
Finger Counting; Hand Gesture Recognition; Hand Detection; Straight Line Detection; Edge Projection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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