Finger-Knuckle-Print Recognition Based on Convolution Kernel Optimization and Feature Fusion

X Wei, J Huang, F Ye, J Chen, B Sun… - Available at SSRN …, 2022 - papers.ssrn.com
In recent years, finger-knuckle-print (FKP) recognition has attracted increasing attention for
its security and stability. Among different FKP recognition methods, codingbased methods …

A novel finger-knuckle-print recognition based on batch-normalized CNN

Y Zhai, H Cao, L Cao, H Ma, J Gan, J Zeng… - … , CCBR 2018, Urumqi …, 2018 - Springer
Traditional feature extraction methods, such as Gabor filter and competitive coding, have
been widely used in finger-knuckle-print (FKP) recognition. However, these methods focus …

Deep convolutional neural network for finger-knuckle-print recognition

A Zohrevand, Z Imani, M Ezoji - International Journal of Engineering, 2021 - ije.ir
Finger-Knuckle-Print (FKP) is an accurate and reliable biometric in compare to other hand-
based biometrics like fingerprint because of the finger's dorsal region is not exposed to …

Learning discriminative finger-knuckle-print descriptor

L Fei, B Zhang, S Teng, A Zeng, C Tian… - ICASSP 2019-2019 …, 2019 - ieeexplore.ieee.org
Direction information has been intensively investigated for Finger-Knuckle-Print (FKP)
recognition. However, most existing direction-based KFP recognition methods are …

Finger Knuckle Print Recognition using Transfer Learning

G Murali, DV Kumar, S Kannan… - 2022 7th International …, 2022 - ieeexplore.ieee.org
Recent years have seen a surge in interest in biometric technologies. The finger-knuckle
print (FKP) is one of the most common biometric characteristics. FKP would be a reliable and …

Finger-knuckle-print recognition system based on features-level fusion of real and imaginary images

A Attia, A Moussaoui, M Chaa, Y Chahir - Journal on Image and Video …, 2018 - hal.science
In this paper, a new method based on Log Gabor-TPLBP (LGTPLBP) has been proposed.
However the Three Patch Local Binary Patterns (TPLBP) technique used in face recognition …

Deepknuckle: Deep learning for finger knuckle print recognition

AS Tarawneh, AB Hassanat, E Alkafaween, B Sarayrah… - Electronics, 2022 - mdpi.com
Biometric technology has received a lot of attention in recent years. One of the most
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …

Finger knuckle print recognition based on wavelet and gabor filtering

G Verma, A Sinha - Proceedings of International Conference on Computer …, 2017 - Springer
Biometric systems are used for identification-and verification-based applications such as e-
commerce, physical access control, banking, and forensic. Among several kinds of biometric …

Deep learning for finger-knuckle-print identification system based on PCANet and SVM classifier

R Chlaoua, A Meraoumia, KE Aiadi, M Korichi - Evolving Systems, 2019 - Springer
Biometric technology knows a large attention in the recent years. In the biometric security
systems, the personal identity recognition depends on their behavioral, biological or …

Finger Knuckle Print Recognition Using Complex Conjugate Feature Vector

P Jayapriya, K Umamaheswari - 4th EAI International Conference on Big …, 2022 - Springer
Biometrics are human-specific traits that are employed in person identification and access
control. Various biometrics such as fingerprints, finger knuckle, iris, palmprint, vein patterns …