Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finger-Knuckle-Print Verification Based on Band-Limited Phase-Only Correlation
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Finger surface as a biometric identifier
Computer Vision and Image Understanding
Personal authentication using finger knuckle surface
IEEE Transactions on Information Forensics and Security
Human identification using Knucklecodes
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
A New Distance Measure for Face Recognition System
ICIG '09 Proceedings of the 2009 Fifth International Conference on Image and Graphics
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
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
Iris recognition using consistent corner optical flow
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Iris classification based on its quality
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
A heuristic technique for performance improvement of fingerprint based integrated biometric system
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
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This paper makes use of finger knuckleprints to propose an efficient biometrics system. Edge based local binary pattern (ELBP) is used to enhance the knuckleprint images. Highly distinctive texture patterns from the enhanced knuckleprint images are extracted for better classification. It has proposed a distance measure between two knuckleprint images. This system has been tested on the largest publicly available Hong Kong Polytechnic University (PolyU) finger knuckleprint database consisting 7920 knuckleprint images of 165 distinct subjects. It has achieved CRR of more than 99.1% for the top best match, in case of identification and ERR of 3.6%, in case of verification.