Results 241 to 250 of about 415,012 (281)

Local Vein Texton Learning for Finger Vein Recognition

2014
In finger vein recognition, the input image is generally labeled in accordance with the nearest enrolled neighbor. However, it is so rigid that it is inadequate for some cases. This paper explores a modified sparse representation method for finger vein recognition.
Lu Yang 0005, Gongping Yang 0001, Yilong Yin, Lumei Dong   +3 more
openaire   +2 more sources

Finger-vein network enhancement and segmentation

Pattern Analysis and Applications, 2013
Recently, an emerging biometric recognition based on human finger-vein patterns has received considerable attention. Due to light attenuation in imaging finger tissues, the finger-vein imagery is often seriously degraded. This makes network-based finger-vein feature representation greatly difficult in practice.
Jinfeng Yang, Yihua Shi
openaire   +2 more sources

Multi-Perspective Finger-Vein Biometrics

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2018
Most finger vein recognition systems use palmar finger images. There is some work on the dorsal view, but the remaining views have not been sufficiently investigated yet. All major public available finger-vein databases contain only images from the palmar view and only one smaller database has images from the dorsal view.
Bernhard Prommegger, Christof Kauba, Andreas Uhl   +2 more
openaire   +1 more source

A Method of Evolving Finger Vein Template

2012 International Symposium on Biometrics and Security Technologies, 2012
In a finger vein verification system, when running for a long time, the captured templates could be different from the registered ones because of the user habits changing, the devices ageing, and some other factors. The unsteady discrepancy between templates of the same finger affects the verification results seriously. Therefore, we design a templates
Darun Tang, Beining Huang, Wenxin Li 0005, Xiaoming Li   +3 more
openaire   +2 more sources

Efficient Finger Vein Localization and Recognition

2010 20th International Conference on Pattern Recognition, 2010
In order to achieve accurate recognition of human finger vein (FV), this paper addresses the problems of finger vein localization and vein feature extraction. An inherent physical property of human fingers is used to localize the region of interest (ROI) of vein images as well as removing uninformative vein imagery based on the inter-phalangeal joint ...
Jinfeng Yang, Xu Li
openaire   +2 more sources

Rotation Invariant Finger Vein Recognition

2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2019
Finger vein recognition deals with the identification of subjects based on its venous pattern within the fingers. The majority of the scanner devices capture a single finger from the palmar side using light transmission. Some of them are equipped with a contact surface or other structures to support in finger placement.
Bernhard Prommegger, Andreas Uhl
openaire   +1 more source

Cancelable biometrics for finger vein recognition

2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 2016
Cancelable biometrics is one of the possible solutions to security and privacy problems in biometrics-based recognition systems. In this paper we propose the use of two classical transformations, block re-mapping and image warping, for the definition of cancelable biometrics from finger vein pattern images.
Emanuela Piciucco, Emanuele Maiorana, Christof Kauba, Andreas Uhl, Patrizio Campisi   +4 more
openaire   +3 more sources

Finger Vein Pattern Extraction Algorithm

2011
In this paper the outline of complete vein pattern recognition system is introduced. An innovative method for finger vein image binarization is given in detail. The main purposes in the developed method are: lower time consuming comparing to other methods, simplicity and promising results achievement in spite of working with low contrast images.
Michal Walus, Jan Kosmala, Khalid Saeed 0001   +2 more
openaire   +1 more source

Enhanced Approach for Finger-Vein Extraction

Proceedings of the 2018 VII International Conference on Network, Communication and Computing, 2018
Recently, recognition systems of finger vein have been used for personal identification. Finger vein is more promising than the existing biometric system in terms of security and convenience. However, accuracy may be reduced depending on the performance of the machine or the environment surrounding it.
Byung-Hoon Lee, Tea-Yeong Hah, Won Ho Jeong, Kyung-Seok Kim   +3 more
openaire   +2 more sources

A Novel Method for Finger Vein Segmentation

2019
In terms of such problems as the traditional finger vein segmentation algorithm cannot achieve good segmentation effect, the public finger vein dataset is small, and there is no suitable reference standard for neural network training, this paper proposes a finger vein segmentation algorithm based on LadderNet. Based on the conventional U-Net structure,
Junying Zeng, Fan Wang, Chuanbo Qin, Junying Gan, Yikui Zhai, Boyuan Zhu   +5 more
openaire   +2 more sources