A Fingertip and Webbed Point Detection Method Based on K-vector and K-medoids Clustering Algorithm
Hong Duan, Kunyu Cai
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.91How to use a DOI?
- Fingertip Detection , Webbed point Detection,K-vector Algorithm, K-medoids Clustering Algorithm
- The paper presents a calculation method to get the probable fingertips and webbed points in outline. First, use K-vectoe to calculate the K-slope of all points in outline and get a series of peak point sets. Then, cluster the peak point sets which have been obstained by K-medoids algorithm and get the location of every fingertips and probable points; At last, distinguish the fingertips and webbed points by vector cross product operation. The experiment shows that this method achieve the precise positionong of the fingertips and finger webbed points.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hong Duan AU - Kunyu Cai PY - 2013/03 DA - 2013/03 TI - A Fingertip and Webbed Point Detection Method Based on K-vector and K-medoids Clustering Algorithm BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 358 EP - 360 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.91 DO - https://doi.org/10.2991/iccsee.2013.91 ID - Duan2013/03 ER -