Title :
A comparison of hand shape recognition algorithms
Author :
Mitome, Aya ; Ishii, Rokuya
Author_Institution :
Div. of Electron. & Comput. Eng., Yokohana Nat. Univ., Yokohama, Japan
Abstract :
A hand shape recognition is proposed as a graphical user interface (GUI) which is very useful for a handicapped person to use a computer. This paper compared five hand shape recognition algorithms, evaluated the hand shape recognition ratio, the processing speed, and the extraction ratio on different colored background. From the results, the algorithm2 (named in this paper) has the maximum recognition ratio in all hand shape recognition algorithms and it is 93.3[%]. The algorithm1 and the algorithm2 have faster processing speed than other three algorithms. The extraction ratio is about 70[%] in each algorithm.
Keywords :
graphical user interfaces; handicapped aids; image recognition; colored background; extraction ratio; graphical user interface; hand shape recognition algorithms; hand shape recognition ratio; Cameras; Color; Computer interfaces; Data mining; Graphical user interfaces; Histograms; Image segmentation; Pixel; Shape control; User interfaces;
Conference_Titel :
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN :
0-7803-7906-3
DOI :
10.1109/IECON.2003.1280596
