TY  - JOUR
T1  - Fingertip Detection using Mathematical Morphology and Template Matching
AU - , Lian-Wen JIN AU - , Rui XU AU - , Jun-Xun YIN 
JO  - Asian Journal of Information Technology
VL  - 3
IS  - 4
SP  - 265
EP  - 269
PY  - 2004
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2004.265.269
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2004.265.269
KW  - 
AB  - Video-based Human Computer Interaction (HCI) has been a popular research field in recent years. Detection of the fingertip position from video images is a very important and foundational step for many video-based HCI. In this paper, an effective fingertip detection approach based on mathematical morphology and template matching techniques is proposed. Experiment on 26,000 video images shows that the correct rate of our fingertip detection algorithm is 99.6%.
ER  -