Title :
Contactless and Pose Invariant Biometric Identification Using Hand Surface
Author :
Kanhangad, Vivek ; Kumar, Ajay ; Zhang, David
Author_Institution :
Hong Kong Polytech. Univ., Kowloon, China
fDate :
5/1/2011 12:00:00 AM
Abstract :
This paper presents a novel approach for hand matching that achieves significantly improved performance even in the presence of large hand pose variations. The proposed method utilizes a 3-D digitizer to simultaneously acquire intensity and range images of the user´s hand presented to the system in an arbitrary pose. The approach involves determination of the orientation of the hand in 3-D space followed by pose normalization of the acquired 3-D and 2-D hand images. Multimodal (2-D as well as 3-D) palmprint and hand geometry features, which are simultaneously extracted from the user´s pose normalized textured 3-D hand, are used for matching. Individual matching scores are then combined using a new dynamic fusion strategy. Our experimental results on the database of 114 subjects with significant pose variations yielded encouraging results. Consistent (across various hand features considered) performance improvement achieved with the pose correction demonstrates the usefulness of the proposed approach for hand based biometric systems with unconstrained and contact-free imaging. The experimental results also suggest that the dynamic fusion approach employed in this work helps to achieve performance improvement of 60% (in terms of EER) over the case when matching scores are combined using the weighted sum rule.
Keywords :
biometrics (access control); image fusion; image matching; image texture; pose estimation; 2D hand images; 3D digitizer; 3D hand images; 3D space; dynamic fusion strategy; hand based biometric systems; hand geometry feature extraction; hand matching approach; hand pose variations; hand surface; palmprint feature extraction; pose correction; pose invariant biometric identification; pose normalization; user pose normalized texture; weighted sum rule; Data mining; Databases; Feature extraction; Fingers; Geometry; Pixel; Three dimensional displays; 3-D Palmprint; 3-D hand geometry; Contactless palmprint; SurfaceCodes; dynamic Fusion; hand biometrics; Algorithms; Biometry; Image Enhancement; Image Processing, Computer-Assisted; Pattern Recognition, Automated;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2010.2090888