Surface shape and curvature scales
Image and Vision Computing
COSMOS-A Representation Scheme for 3D Free-Form Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometric Identification through Hand Geometry Measurements
IEEE Transactions on Pattern Analysis and Machine Intelligence
COSMOS-a representation scheme for free-form surfaces
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Exploiting finger surface as a biometric identifier
Exploiting finger surface as a biometric identifier
Multi-biometrics using facial appearance, shape and temperature
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Human identification using Knucklecodes
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Improving hand-based verification through online finger template update based on fused confidences
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Online finger-knuckle-print verification for personal authentication
Pattern Recognition
Finger-knuckle-print: a new biometric identifier
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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
Ensemble of local and global information for finger-knuckle-print recognition
Pattern Recognition
Finger-knuckle-print recognition using LGBP
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Finger knuckleprint based recognition system using feature tracking
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
An efficient finger-knuckle-print based recognition system fusing SIFT and SURF matching scores
ICICS'11 Proceedings of the 13th international conference on Information and communications security
Phase congruency induced local features for finger-knuckle-print recognition
Pattern Recognition
Hand shape recognition based on coherent distance shape contexts
Pattern Recognition
Expert Systems with Applications: An International Journal
Rigid and non-rigid shape matching for mechanical components retrieval
CISIM'12 Proceedings of the 11th IFIP TC 8 international conference on Computer Information Systems and Industrial Management
Online projective nonnegative matrix factorization for large datasets
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
A finger-knuckle-print recognition algorithm using phase-based local block matching
Information Sciences: an International Journal
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We present a novel approach for personal identification and identity verification which utilizes 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 comparison 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 supports 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, indicating that this approach warrants further research.