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An improved algorithm for hand feature points localization based on disk method
Pages: 62-66
Year: Issue:  6
Journal: Applied Science and Technology

Keyword:  feature locationcontour tracingneighborhood extremumfeature vectorhand recognitiondisk method;
Abstract: The disk method is heavily limited to hand opening degree, resulting in that it is hard to determine the disk radius size and pixel threshold. Therefore, the algorithm is not feasible in practical applications. In response to this limitation of disc algorithm, the authors proposed a disc extremum algorithm through analysis of the disc algo?rithm principle and hand?shaped profile characteristics. The algorithm uses the disk neighborhood extreme value method to determine the peak point and the valley point of the finger, avoiding the use of pixel threshold, while giv?ing the disk radius a greater applicable space. The algorithm solves the limitation of disk algorithm. Experiments show that the algorithm's features localization success rate is up to 98. 8%, increasing about 40% by comparison with the disc algorithm. And on this basis, hand recognition rate based on the feature vectors is 87.13%. The algo?rithm can accurately locate feature points, and it is feasible.
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