Academic
Publications
Finger surface as a biometric identifier

Finger surface as a biometric identifier,10.1016/j.cviu.2005.06.003,Computer Vision and Image Understanding,Damon L. Woodard,Patrick J. Flynn

Finger surface as a biometric identifier   (Citations: 30)
BibTex | RIS | RefWorks Download
We present a novel approach for personal identification and identity verification which uti- lizes 3D finger surface features as a biometric identifier. Using 3D range images of the hand, a surface representation for the index, middle, and ring finger is calculated and used for compar- ison to determine subject similarity. We use the curvature based shape index to represent the fingers surface. Gallery and probe shape index signatures are compared using the normalized correlation coefficient to compute a match score. A large unique database of hand images sup- ports the research. We use data sets obtained over time to examine the performance of each individual finger surface as a biometric identifier as well as the performance obtained when combining them. Both identification and verification experiments are conducted. In addition, probe and gallery sets sizes are increased to further improve recognition performance in our experiments. Our approach yields good results for a first-of-its-kind biometric technique, indi- cating that this approach warrants further research.
Journal: Computer Vision and Image Understanding - CVIU , vol. 100, no. 3, pp. 357-384, 2005
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
    • ...2) Unconstrained and contact based: Hand images are acquired in an unconstrained manner, often requiring the users to place their hand onflat surface [7], [12] or a digital scanner [5], [6]...

    Vivek Kanhangadet al. Contactless and Pose Invariant Biometric Identification Using Hand Sur...

    • ...Few researchers have also explored 3-D hand/finger information for identity verification and recognition [5], [17]...
    • ...Woodard and Flynn [17] investigated 3-D finger surface as a potential biometric modality...
    • ...In addition, the data acquisition method adopted in [17] is not completely contact-free and raises hygienic concerns...
    • ...It is important to note that the performance from the proposed 3-D hand-geometry features alone is comparable with those from the identification approaches proposed in [5] and [17]...
    • ...The major difference between our approach and previous studies [5], [14], [17], [44] involving 3-D hand features is that we acquire images from the palm-side of the user’s hand...

    Vivek Kanhangadet al. A Unified Framework for Contactless Hand Verification

    • ...D. L. Woodward et al. [4,5] recently used the 3D range image of the hand to calculate the curvature surface representation of the index, middle, and ring fingers for similarity comparison...
    • ...In addition, the method [4,5] mainly exploits the 3D shape information of finger back surface but does not fully use the texture information; while the subspace analysis methods used in [6] may not be able to effectively extract the distinctive line and junction features in finger back surface...

    Ming Xionget al. Finger-Knuckle-Print Recognition Using LGBP

    • ...Woodard et al. [4,5] recently used the 3D range image of the hand to calculate the curvature surface representation of the index, middle, and ring fingers for similarity comparison...
    • ...[4,5] mainly exploits the 3D shape information of finger back surface but does not fully use the texture information; while the subspace analysis methods used in Ref...

    Wankou Yanget al. Finger-knuckle-print recognition using Gabor feature and MMDA

    • ...Woodard and Flynn [11] use Minolta 900/910 sensor to capture 3D finger back surface and extract the curvature based shape feature for identification...

    Linlin Shenet al. Hand-Based Biometrics Fusing Palmprint and Finger-Knuckle-Print

Sort by: