Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Personal Identification Utilizing Finger Surface Features
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Handbook of Biometrics
Face Recognition Using Multi-Resolution Transform
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 02
A multi-matcher system based on knuckle-based features
Neural Computing and Applications
Finger surface as a biometric identifier
Computer Vision and Image Understanding
Personal authentication using finger knuckle surface
IEEE Transactions on Information Forensics and Security
Finger-Knuckle-Print Region of Interest Segmentation Using Gradient Field Orientation & Coherence
ICETET '10 Proceedings of the 2010 3rd International Conference on Emerging Trends in Engineering and Technology
Personal identification using knuckleprint
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
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Finger-Knuckle-Print is an emerging biometric trait. Because of high degree of uniqueness and low requirement of user co-operation it has got potential to become building block of future biometric security systems. In this paper we propose finger-knuckle-print verification using kekre's wavelets. Kekre's wavelets are based on kekre's transform and easy to construct. We discuss the feasibility of using kekre's wavelet to extract spectral features of the finger-knuckle-print and use them for verification. In this paper we have used wavelet energy feature, we have compared the results with Haar wavelets. Kekre's wavelet based features give moderate accuracy and performance is same as Haar wavelets.