Fingertip detection with morphology and geometric calculation

Abstract

We present a method to detect human fingertips from images captured by a stereo camera. The system makes use of the disparity information from a stereo camera to find candidates, and defines an evaluation process to detect two hands. The finger detector then processes each hand image to extract finger images. Finally, we perform geometric calculations on the results to relocate the positions of the fingertips. The proposed method is not complex; however, it shows exciting results in terms of run time and detection rates. The extraction result can be used in hand configuration modeling for gesture recognition in HCI systems.