Extraction of Hand Region and Specification of Finger Tips from Color Image

Authors:
Shinji Tsuruoka;Akio Kinoshita;Tetsushi Wakabayashi;Yasuji Miyake;Muneaki Ishida
Affiliations:
-;-;-;-;-
Venue:
VSMM '97 Proceedings of the 1997 International Conference on Virtual Systems and MultiMedia
Year:
1997

Citing 0
Cited 3

Hand tracking in bimanual movements

Image and Vision Computing
Model-guided deformable hand shape recognition without positioning aids

Pattern Recognition
A comparative study of skin-color models

ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a new method ( Vision Point Out System ( VPOS )) of the extraction of the hand region and the specification of the finger tips from color image. This algorithm uses the product of the skin color information and the intensity information. Even if the input image has the nail and the complex background, this method can extract the correct hand region. We evaluated the effectiveness of this method for some hand images with the complex background by the computer experiments. This algorithm can find the extended finger, and can classify "Janken (Japanese finger guessing game; gu-choki-pa )". The string region pointed out by the finger on the background can be extracted.