Title
Fingertip Detection: A Fast Method with Natural Hand
Abstract
Many vision based applications have used fingertips to track or manipulate gestures in their applications. Gesture identification is a natural way to pass the signals to the machine, as the human express its feelings most of the time with hand expressions. Here a novel time efficient algorithm has been described for fingertip detection. This method is invariant to hand direction and in preprocessing it cuts only hand part from the full image, hence further computation would be much faster than processing full image. Binary silhouette of the input image is generated using HSV color space based skin filter and hand cropping done based on intensity histogram of the hand image
Year
Venue
Field
2012
CoRR
HSL and HSV,Computer vision,Histogram,Expression (mathematics),Pattern recognition,Gesture,Silhouette,Computer science,Preprocessor,Artificial intelligence,Invariant (mathematics),Computation
DocType
Volume
ISSN
Journal
abs/1212.0134
International Journal of Embedded Systems and Computer Engineering, 2011
Citations 
PageRank 
References 
7
0.58
9
Authors
3
Name
Order
Citations
PageRank
Jagdish Lal Raheja116414.88
Karen Das2212.36
Ankit Chaudhary319618.51