Paper Info
Title
Fingernail Detection System Using Differences Of The Distribution Of The Nail-Color Pixels
Abstract
As far as we know, previous studies have only used color information for fingernail detection. Images of the palm, however, have a lot of pixels that have the same color values as the fingernail. Other kinds of some information are required to distinguish fingernails from areas of the palm having the same color. We found that there seem to be differences in the distribution of nail-color pixels, which is useful for fingernail detection especially when a camera captures a palm side. We found differences of the areas of the fingernail and skin, and have confirmed these are available for corresponding to the palm. In this paper, therefore, we propose a fingernail detection system using differences in the distribution of the nail-color pixels. The system proposed first fixes provisional nail color indicating nail-likelihood as a calibration process. In main processing, the system has two-step searches. In the first step, it detects all areas which have similar colors to the provisional nail color. Then, in the second step, it distinguishes fingernails from other areas using differences in distribution of nail-color pixels. In the experiments, we investigate the relationship between wrist rotation angles corresponding to the gradient of the nail and percentages of the correct detection. As a result, we confirm that our proposed system can detect only fingernails with at least 85% correct answer or more, except a camera is almost facing to the side of a little finger or thumb.
Year
DOI
Venue
2013
10.20965/jaciii.2013.p0739
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS
Keywords
Field
DocType
fingernail detection, two-step searches, differences of distribution of nail-color pixels
Computer vision,Pattern recognition,Computer science,Artificial intelligence,Pixel,Nail color
Journal
Volume
Issue
ISSN
17
5
1343-0130
Citations 
PageRank 
References 
3
0.65
2
Authors
2
Name
Order
Citations
PageRank
Noriaki Fujishima141.94
Kiyoshi Hoshino26122.33