Dominant Points Based Hand Finger Counting for Recognition under Skin Color Extraction in Hand Gesture Control System

Author

ZhenYu Meng ; Jeng-Shyang Pan ; Kuo-Kun Tseng ; Weimin Zheng

Author_Institution

Intell. Control Res. Center, Guangzhou Inst. of Adv. Technol., Guangzhou, China

fYear

2012

fDate

25-28 Aug. 2012

Firstpage

364

Lastpage

367

Abstract

In this paper, a new approach is proposed for hand gesture recognition, that is accomplished by dominant points based hand finger counting under skin color extraction. Skin color detection is used as a preprocessing segmentation, and the hand gesture contour can be extracted by this mean. after hand segmentation is done, dominant points based algorithm is used for counting hand fingers in this hand gesture control system. the performance and comparison is evaluated in the end as well. then the hand gesture control system can be implement by fuzzy logical efficiently this way.

Keywords

feature extraction; fuzzy logic; gesture recognition; image colour analysis; image segmentation; skin; dominant points-based algorithm; dominant points-based hand finger counting; fuzzy logic; hand gesture contour extraction; hand gesture control system; hand gesture recognition; hand segmentation; preprocessing segmentation; skin color detection; skin color extraction; Cameras; Covariance matrix; Face; Gesture recognition; Image color analysis; Image segmentation; Skin; dominant points; finger counting; hand gesture; skin color detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on

Conference_Location

Kitakushu

Print_ISBN

978-1-4673-2138-9

Type

conf

DOI

10.1109/ICGEC.2012.85

Filename

6457108