Paper Info
Title
Data-mining process: application for hand detection in contact free settings
Abstract
Hand detection is the first step of any hand biometric recognition process, which determines the outcome of the following treatments. In this study, the authors propose a robust method for hand detection without contact and without constraints on the capture environment. This method is based on a data-mining process for skin-colour modelling. The presented data-mining process offers several advantages like the choice of the most relevant colour axes and the automatic choice of the decision rules. To improve the achieved results of skin detection and to determine the hand region in the image, a succession of postprocessings was proposed. The authors hand detection method was evaluated experimentally on a real database, namely, `Sfax-Miracl hand database'; the outcomes of this evaluation show promising results and demonstrate the effectiveness of the proposed method.
Year
DOI
Venue
2013
10.1049/iet-ipr.2013.0302
Image Processing, IET
Keywords
Field
DocType
data mining,decision theory,image colour analysis,palmprint recognition,visual databases,Sfax-Miracl hand database,colour axes,contact free settings,data-mining process,decision rules,hand biometric recognition process,hand detection method,skin-colour modelling
Decision rule,Hand geometry,Computer vision,Data mining,Hand region,Artificial intelligence,Biometrics,Mathematics
Journal
Volume
Issue
ISSN
7
8
1751-9659
Citations 
PageRank 
References 
3
0.40
18
Authors
3
Name
Order
Citations
PageRank
Salma Ben Jemaa1141.91
Mohamed Hammami218130.54
Hanêne Ben-Abdallah339871.57