Results 231 to 240 of about 415,012 (281)

Small-Area Finger Vein Recognition

IEEE Transactions on Information Forensics and Security, 2023
Gongping Yang, Lu Yang, Yilong Yin
exaly   +3 more sources

Finger Vein Verification with Vein Textons

International Journal of Pattern Recognition and Artificial Intelligence, 2015
Finger vein pattern has become one of the most promising biometric identifiers. In this paper, a robust method based on Bag-of-Words (BoW) is developed for finger vein verification. Firstly, some robust and discriminative visual words are learned from local base features such as Local Binary Pattern (LBP), Mean Curvature and Webber Local Descriptor ...
Lumei Dong, Gongping Yang 0001, Yilong Yin, Xiaoming Xi, Lu Yang 0005, Fei Liu 0010   +5 more
openaire   +2 more sources

Longitudinal Finger Rotation in Finger-Vein Recognition

2018 International Conference of the Biometrics Special Interest Group (BIOSIG), 2018
Finger-vein scanners or vein-based biometrics in general are becoming more and more popular. Commercial off-the-shelf finger-vein scanners usually capture only one finger from the palmar side using transillumination. Most scanners have a contact area and a finger-shaped support where the finger has to be placed onto in order to prevent misplacements of
Bernhard Prommegger, Christof Kauba, Andreas Uhl   +2 more
openaire   +2 more sources

A Survey of Finger Vein Recognition

2014
As a new biometric technique, finger vein recognition has attracted lots of attentions and efforts from researchers, and achieved some progress in recent years. A survey of progress in finger vein recognition is given in this paper. It mainly focuses on three aspects, i.e., the general introduction of finger vein recognition, a review of the existing ...
Lu Yang 0005, Gongping Yang 0001, Yilong Yin, Lizhen Zhou   +3 more
openaire   +2 more sources

Finger vein recognition based on finger crease location

Journal of Electronic Imaging, 2016
Finger vein recognition technology has significant advantages over other methods in terms of accuracy, uniqueness, and stability, and it has wide promising applications in the field of biometric recognition. We propose using finger creases to locate and extract an object region.
Zhiying Lu, Shumeng Ding, Jing Yin
openaire   +1 more source

Finger-Vein as a Biometric-Based Authentication

IEEE Consumer Electronics Magazine, 2019
With the evolution of consumer electronics, personal private information stored in the Consumer Electronics (CE) devices is becoming increasingly valuable. To protect private information, biometrics technology is subsequently equipped with the CE devices.
Liu, C.-Y., Ruan, S.-J., Lai, Y.-R., Yao, C.-Y.   +3 more
openaire   +3 more sources

DFVR: Deformable finger vein recognition

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Although some developments have been achieved in finger vein recognition recently, the image deformation problem has received relatively less attention and still intractable. In this paper, the reason and the harmfulness of this problem are analyzed firstly. And then, a deformable finger vein recognition framework is proposed to deal with this problem,
Qing Chen, Lu Yang 0005, Gongping Yang 0001, Yilong Yin, Xianjing Meng   +4 more
openaire   +2 more sources

Compression standards in finger vein recognition

2016 International Conference on Biometrics (ICB), 2016
The impact of applying three ISO/IEC still image compression standards to finger vein recognition accuracy is assessed. While JPEG is not competitive for low bitrates, JPEG 2000 and JPEG XR turn out to perform well for different types of template generation techniques. PSNR as a generic measure for image quality is found not to be suited as a predictor
Victoria Ablinger, Cornelia Zenz, Jutta Hämmerle-Uhl, Andreas Uhl   +3 more
openaire   +1 more source

The finger vein recognition based on shearlet

2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), 2016
In recent years, finger vein recognition has become more attractive due to some obvious advantages, such as: in-vivo recognition, high anti-counterfeiting, high acceptability, and high stability, etc. But for some finger vein image, its vein structure is too simple and the useful information is too less, the conventional recognition method often behave
Xiaofei Yang, Chunhua Yang 0006, Zhijun Yao   +2 more
openaire   +1 more source

A novel approach to finger vein authentication

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017
Finger vein patterns are unique biometric features, which differentiate from individual to individual, so they are suitable for authentication applications. Systems based on the use of this feature have numerous advantages such as low cost and high accuracy.
Fotios Tagkalakis, Dimitrios Vlachakis, Vasileios Megalooikonomou, Athanassios Skodras   +3 more
openaire   +1 more source