Hand-based verification and identification using palm-finger segmentation and fusion
Computer Vision and Image Understanding
Online finger-knuckle-print verification for personal authentication
Pattern Recognition
Feature level fusion of multi-instance finger knuckle print for person identification
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Finger-Knuckle-Print verification using Kekre's wavelet transform
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Human authentication using finger knuckle print
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
Finger-knuckle-print recognition using LGBP
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Expert Systems with Applications: An International Journal
A new approach for inner-knuckle-print recognition
Journal of Visual Languages and Computing
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In this paper we present a novel approach for personal identification which utilizes finger surface features as a biometric identifier. Using dense range data images of the hand, we calculate the curvature-based surface representation, shape index, for the index, middle, and ring fingers. This representation is used for comparisons to determine subject similarity. Our experiments involve the use of a large data set of range images collected over time. We examine the performance of individual finger surfaces as a biometric identifier as well as the performance when using the three finger surfaces in conjunction. The results of our experiments are presented, which indicate that this approach performs well for a first-of-its-kind biometric technique.