Z Yang, W Xia, Y Qiao, Z Lu, B Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Palmprint recognition achieves high discrimination for identity verification. Compared with handcrafted local texture descriptors, convolutional neural networks (CNNs) can …
X Liang, Z Li, D Fan, B Zhang, G Lu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, contactless bimodal palmprint recognition technology has attracted increased attention due to the COVID-19 pandemic. Many dual-camera-based sensors have been …
Palmprint as biometrics has gained increasing attention recently due to its discriminative ability and robustness. However, existing methods mainly improve palmprint verification …
F Liao, T Wu, F Gao, L Leng - The Visual Computer, 2024 - Springer
Palmprint is a promising biometric modality and has several advantages. However, many serious challenges severely restrict the development of palmprint recognition in mobile …
C Liu, D Zhong, H Shao - … on Circuits and Systems for Video …, 2022 - ieeexplore.ieee.org
Palmprint recognition is one of the most popular biometric technologies. Recent researches mainly focus on the recognition performance, while pay less attention to the data protection …
Z Yang, L Leng, B Zhang, M Li, J Chu - Applied Intelligence, 2023 - Springer
Palmprint has been widely used for personal authentication in many applications, such that the assessment of recognition system security is important. Online attacks of palmprint …
This paper presents a method to dynamically model Type-1 fuzzy inference systems using a Competitive Neural Network. The aim is to exploit the potential of Competitive Neural …
Low-quality palmprint images will degrade the recognition performance, when they are captured under the open, unconstraint, and low-illumination conditions. Moreover, the …
With the growing demand for hand hygiene, touchless palmprint recognition has made great strides recently, providing an effective solution for personal identification. Despite many …