Results 221 to 230 of about 1,853,766 (270)
Some of the next articles are maybe not open access.
Towards finger-vein image restoration and enhancement for finger-vein recognition
Information Sciences, 2014Biometric recognition based on human finger-vein patterns is an emerging technique and has been receiving increasing attention. Due to light attenuation in biological tissue, the collected finger-vein images are often seriously degraded. This makes finger-vein feature representation unreliable, and inevitably impairs the accuracy of finger-vein ...
Jinfeng Yang, Yihua Shi
exaly +3 more sources
Which finger is the best for finger vein recognition?
2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2016 Finger vein recognition is a biometric method utilizing the vein patterns inside one's fingers for personal identification. Every user has 10 fingers in total, among which the index fingers and middle fingers from left and right hands are the most common used fingers in finger vein recognition systems, for their suitable length, width and flexibility ...
He Zheng +4 more
openaire +3 more sources
Small-Area Finger Vein Recognition
IEEE Transactions on Information Forensics and Security, 2023Gongping Yang, Lu Yang, Yilong Yin
exaly +3 more sources
Parameter adjustment of finger vein recognition algorithms
2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), 2017 Finger vein recognition is a biometric method utilizing the vein patterns inside one's fingers for personal identification. Recognition algorithm is the key part of a finger vein recognition system, dominating the system performance. There are usually a lot of parameters in algorithms, and different values of the parameters could lead to different ...
He Zheng +6 more
openaire +3 more sources
Finger Vein Recognition With Anatomy Structure Analysis
IEEE Transactions on Circuits and Systems for Video Technology, 2018Finger vein recognition has received a lot of attention recently and is viewed as a promising biometric trait. In related methods, vein pattern-based methods explore intrinsic finger vein recognition, but their performance remains unsatisfactory owing to defective vein networks and weak matching. One important reason may be the neglect of deep analysis
Gongping Yang, Xiaoming Xi, Lu Yang
exaly +2 more sources
Longitudinal Finger Rotation in Finger-Vein Recognition
2018 International Conference of the Biometrics Special Interest Group (BIOSIG), 2018Finger-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 +2 more
openaire +2 more sources
Finger vein recognition techniques: a comprehensive review
Multimedia Tools and Applications, 2023This paper discusses a comprehensive review of the previous research in the field of the finger vein recognition system with a focus on finger vein enhancements and features extraction advances and shortcomings. It starts with a general introduction of the biometric system followed by detailed descriptions on finger vein identification, and its ...
Hoshang Kolivand +3 more
openaire +1 more source
DFVR: Deformable finger vein recognition
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017Although 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 +4 more
openaire +2 more sources
Compression standards in finger vein recognition
2016 International Conference on Biometrics (ICB), 2016The 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 +3 more
openaire +1 more source
The finger vein recognition based on shearlet
2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), 2016In 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 +2 more
openaire +1 more source