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Efficient Finger Vein Localization and Recognition
2010 20th International Conference on Pattern Recognition, 2010In 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
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Rotation Invariant Finger Vein Recognition
2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2019Finger 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
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Cancelable biometrics for finger vein recognition
2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 2016Cancelable 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 +4 more
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Rotation Invariant Finger Vein Recognition
2012Finger vein patterns have recently been recognized as an effective biometric identifier and many related work can achieve satisfied results. However, these methods usually suppose the database is non-rotated or slightly rotated, which are strict for preprocessing stages, especially for capture.
Shaohua Pang +3 more
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A finger vein recognition system
2016 Conference on Advances in Signal Processing (CASP), 2016The most vital requirement in today's world of spoofing attacks is the high security. The development in consumer electronics demands for high security with high accuracy and high speed of authentication. Human behavioural and physiological features in biometrics has the large scope as a solution for security issues.
Manisha Sapkale, S. M. Rajbhoj
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Finger Vein Pulsation-Based Biometric Recognition
IEEE Transactions on Information Forensics and Security, 2021Finger vein has become an appealing biometric trait due to its intrinsic nature, contactless acquisition and anti-spoofing capability when compared to other dominant biometric traits. The state-of-the-art intrinsic recognition derives vein patterns based on either curvature values, line tracking or deep neural networks.
Arya Krishnan +2 more
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A Novel Method for Finger Vein Recognition
2019Benefiting from CNN’s strong feature expression ability, the finger vein recognition systems using the convolutional neural network (CNN) currently have shown a good performance. However, these systems usually adopt such large networks or complex step-by-step processes that they cannot be applied to the hardware platform with limited computing power ...
Junying Zeng +6 more
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Robustness of finger-vein recognition
2018One of the big issues in biometric recognition is robustness of recognition accuracy against sample signal quality degradation. The performance of a biometric recognition system is usually heavily affected by sample signal quality. A wide variety of factors potentially influence the quality of acquired biometric samples. The different types of features
Christof Kauba, Andreas Uhl
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Effects of meteorological factors on finger vein recognition
2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), 2017Finger vein recognition is a biometric method utilizing the vein patterns inside one's fingers for personal identification. Current recognition algorithms use completely image-based feature extraction and matching technology. However, we notice that the performance of the recognition system varies when users are exposed to different meteorological ...
He Zheng +3 more
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An effective preprocessing method for finger vein recognition
SPIE Proceedings, 2013The image preprocessing plays an important role in finger vein recognition system. However, previous preprocessing schemes remind weakness to be resolved for the high finger vein recongtion performance. In this paper, we propose a new finger vein preprocessing that includes finger region localization, alignment, finger vein ROI segmentation and ...
Jialiang Peng +4 more
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