Paper Info
Title
Novel hand biometric system using invariant descriptors
Abstract
Biometrics-based hand authentication is among the most popular biometrics used to automatically characterize a person especially in forensic applications. Hand recognition systems are able to confirm or deny the identity of a claimed person because they do not cause anxiety for the users. However, different individuals may have almost similar hands. Therefore, the performance of the hand verification process depends highly on the hand descriptors. In this paper, we propose a new approach for personal verification based on Scale Invariant Feature Transform (SIFT). This transform proved its high distinction and efficiency in many applications especially in object recognition and video tracking. Two public databases have been used to evaluate performances. Experimental results show promising recognition rates by achieving 94% for IITD hand database and 98% for Bosphorus hand database.
Year
DOI
Venue
2014
10.1109/SOCPAR.2014.7008016
Soft Computing and Pattern Recognition
Keywords
Field
DocType
object recognition,object tracking,palmprint recognition,Bosphorus hand database,IITD hand database,SIFT,biometrics-based hand authentication,hand biometric system,hand recognition systems,hand verification process,invariant descriptors,object recognition,personal verification approach,scale invariant feature transform,video tracking,Biometrics,SIFT invariant descriptors,hand shape
Hand geometry,Scale-invariant feature transform,Authentication,Pattern recognition,Computer science,Feature extraction,Speech recognition,Video tracking,Artificial intelligence,Invariant (mathematics),Biometrics,Cognitive neuroscience of visual object recognition
Conference
Citations 
PageRank 
References 
5
0.41
11
Authors
4
Name
Order
Citations
PageRank
Nesrine Charfi150.41
Hanêne Trichili250.41
Adel M. Alimi3818.88
Basel Solaiman4264.30