Communications of the ACM - Multimodal interfaces that flex, adapt, and persist
Wavelet decomposition tree selection for palm and face authentication
Pattern Recognition Letters
Pattern Recognition Letters
Ensemble of multiple Palmprint representation
Expert Systems with Applications: An International Journal
On selecting Gabor features for biometric authentication
International Journal of Computer Applications in Technology
A supervised method to discriminate between impostors and genuine in biometry
Expert Systems with Applications: An International Journal
Online finger-knuckle-print verification for personal authentication
Pattern Recognition
Multimodal biometric identification system based on finger geometry, knuckle print and palm print
Pattern Recognition Letters
An innovative contactless palm print and knuckle print recognition system
Pattern Recognition Letters
Realizing hand-based biometrics based on visible and infrared imagery
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Finger-Knuckle-Print verification using Kekre's wavelet transform
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Ensemble of local and global information for finger-knuckle-print recognition
Pattern Recognition
Exploration of a hand-based graphical password scheme
Proceedings of the 4th international conference on Security of information and networks
A user dependent multi-resolution approach for biometric data
International Journal of Information Technology and Management
Feature-level fusion of hand biometrics for personal verification based on kernel PCA
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
A secure multimodal biometric verification scheme
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
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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A novel biometric defined as “knuckleprint” is presented in this paper The Line feature of the knuckleprint with its distribution in the finger (which is defined as location feature) is extracted to identify a person To enhance the performance of identification, hierarchical classification method is used to classify the location feature and line feature in different levels Though this is the first attempt of knuckleprint identification, the accuracy rate reaches 96.88% on the database that contains 1,432 image samples, which testifies that knuckleprint is reliable as a biometric, and demonstrates the effectiveness and robustness of the features.