4.5 (96) In stock
The proposed approach to combine Finger-knuckle and finger-nail features using feature level fusion and feed forward back-propagation Neural Network for classification reaches up to 97% with respective training of 90% of total dataset. Dorsum of the hand can be very useful in Personal identification but yet it has not that much extensive attention. Single scan of dorsum hand can give two biometric traits finger-knuckle and finger nail. This paper presents an approach to combine Finger-knuckle and finger-nail features. Finger nail biometric is considered as quite unique biometric trait hence we combine this trait with finger knuckle. We also developed an algorithm to extract ROI from Finger-knuckle and finger-nail. Finger- knuckle features are extracted using Mel Frequency Cepstral Coefficient (MFCC) technique and the features of finger-nail are extracted from second level wavelet decomposition. We combined these features using feature level fusion and feed forward back-propagation Neural Network for classification. The performance of the system has been tested on our own KVKR- knuckle database that includes 100 subject's dorsal hands. Evaluation results shows that increase in training set gives increased performance rate. The best performance of the proposed system reaches up to 97% with respective training of 90% of total dataset.
Single-sensor hand-vein multimodal biometric recognition using multiscale deep pyramidal approach
An overview of touchless 2D fingerprint recognition, EURASIP Journal on Image and Video Processing
Multimodal Biometric endorsement for secure Internet banking using Skin Spectroscopy, Knuckles texture and Finger nail recognition
Biometric authentication using finger nail plates - ScienceDirect
Prapti DESHMUKH, Computer science and IT
PDF) Multimodal Biometric System Using Finger Knuckle and Nail: A Neural Network Approach
Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure - ScienceDirect
PDF) FKIMNet: A Finger Dorsal Image Matching Network Comparing
Hand-based multibiometric systems: state-of-the-art and future challenges [PeerJ]
A taxonomy of finger knuckle joints: Blue-colored circles indicate
