Multimodal Biometric System Using Finger Knuckle and Nail: A
4.7 (474) · $ 23.00 · 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.
Knuckle Print Biometrics and Fusion Schemes -- Overview, Challenges, and Solutions
Table 2 from DETECTION OF NAIL PECULIARITIES USING NAIL IMAGE PROCESSING TECHNIQUES
PDF) Multimodal Biometric System Using Finger Knuckle and Nail: A Neural Network Approach
Sensors, Free Full-Text
An overview of touchless 2D fingerprint recognition, EURASIP Journal on Image and Video Processing
Table 2 from DETECTION OF NAIL PECULIARITIES USING NAIL IMAGE PROCESSING TECHNIQUES
Multimodal Biometric System Using Finger Knuckle and Nail: A Neural Network Approach
A taxonomy of finger knuckle joints: Blue-colored circles indicate
Finger nail plate shape and size for personal identification--a possible low technology method for the developing world--preliminary report.
Multimodal Biometric System Using Finger Knuckle and Nail: A Neural Network Approach
Figure 1 from Finger nail plate shape and size for personal identification--a possible low technology method for the developing world--preliminary report.
PDF) A new approach to develop biometric fingerprint using human right thumb fingernail
Biometric identification system using fingerprint and knuckle as multimodality features
