Filters








2,467 Hits in 5.7 sec

An Image Rotation Approach for Hand Dorsal Vein Recognition

Ignacio Irving Morales-Montiel, J. Arturo Olvera-López, Ivan Olmos-Pineda
2015 Research in Computing Science  
In this work we propose an approach based on central hand points for auto-rotating hand thermal images; based on the results our approach is able to rotate images from different orientations and obtains  ...  In Biometric recognition, commonly the information about the biometric to be analyzed is contained in digital images, in particular this work is focused on analyzing hand dorsal veins as biometric.  ...  In the literature, several biometrics have been analyzed for person recognition purposes but recently the hand dorsal veins also are used as biometric; in this work an approach for auto-rotating hand dorsal  ... 
doi:10.13053/rcs-99-1-10 fatcat:i7hpk3v2nfbc3kwadgg57fxsjm

Dorsal Hand Vein Pattern Analysis and Neural Networks for Biometric Authentication

Bogdan BELEAN, Mihaela STREZA, Septimiu CRISAN, Simina EMERICH
2017 Studies in Informatics and Control  
In this paper, we propose a novel user authentication approach based on dorsal hand vein pattern analysis and multi-layer perceptron neural network classification.  ...  Both approaches lead to binary images containing the vein patterns.  ...  According to the experimental results, the proposed system is comparable or even outperforms prior approaches for dorsal hand veins biometric recognition.  ... 
doi:10.24846/v26i3y201706 fatcat:4wgxtoqhorhgrjwnnuxi3kz7by

Hand-Dorsa Vein Recognition by Matching Local Features of Multisource Keypoints

Di Huang, Yinhang Tang, Yiding Wang, Liming Chen, Yunhong Wang
2015 IEEE Transactions on Cybernetics  
This paper proposes a novel approach to hand-dorsa vein recognition through matching local features of multiple sources.  ...  As an emerging biometric for people identification, the dorsal hand vein has received increasing attention in recent years due to the properties of being universal, unique, permanent, and contactless,  ...  These facts clearly demonstrate the effectiveness of the proposed approach for dorsal hand vein recognition.  ... 
doi:10.1109/tcyb.2014.2360894 pmid:25314718 fatcat:j4sp6uw2mrevhbpzosxvtspl2u

Improving hand vein recognition by score weighted fusion of wavelet-domain multi-radius local binary patterns

Yiding Wang, Qiangyu Duan, Lik Kwan Shark, Di Huang
2016 International journal of computer applications in technology  
For biometric recognition based on near-infrared dorsal hand vein images, Local Binary Patterns (LBP) have emerged as a highly effective descriptor of local image texture with high recognition performance  ...  Among biometric modalities, hand vein patterns are seen as providing an attractive method for high-level security access applications owing to high impenetrability and good user convenience.  ...  This has led to the work described in this paper to extend the LPB approach to achieve a higher level of recognition performance for NIR dorsal hand vein images.  ... 
doi:10.1504/ijcat.2016.079870 fatcat:qxcxy2nwrfhwdb5ckk2n5pjtye

Different Views on the Finger—Score-Level Fusion in Multi-Perspective Finger Vein Recognition [chapter]

Bernhard Prommegger, Christof Kauba, Andreas Uhl
2019 Advances in Computer Vision and Pattern Recognition  
In finger vein recognition, the palmar view of the finger is used almost exclusively, with some exceptions where the dorsal view is utilised.  ...  We established a multi-perspective finger vein dataset comprising of views all around the finger's longitudinal axis, captured using our self-developed rotating multi-perspective finger vein capture device  ...  This should help to overcome hand registration and posture change problems present in hand vein recognition if only 2D vein patterns/images are available.  ... 
doi:10.1007/978-3-030-27731-4_10 fatcat:y2t6lbwskngujex6uokj6f5gom

MULTISPECTRAL DORSAL HAND VEIN RECOGNITION BASED ON LOCAL LINE BINARY PATTERN

Fransisca J Pontoh, Jayanti Yusmah Sari, Amil A Ilham, Ingrid Nurtanio
2018 Jurnal Ilmu Komputer dan Informasi  
In recognition step, the adaptation fuzzy k-NN classifier is to evaluate the efficiency of the proposed approach is feasible and effective for dorsal hand vein recognition.  ...  The experimental result showed that LLBP method is reliable for feature extraction on dorsal hand vein recognition with a recognition accuracy up to 98%.  ...  Pontoh et.al, Multispectral Dorsal Hand Vein Recognition Based On Local Line Binary Pattern 101 recognition approach by using our multispectral dorsal hand vein images.  ... 
doi:10.21609/jiki.v11i2.576 fatcat:jxwqhwh75nhktbncnmigt2e334

Dorsal hand vein recognition based on EP-tree

Jen-Chun Lee
2015 2015 14th IAPR International Conference on Machine Vision Applications (MVA)  
We employed a total of 4,280 images of dorsal hand veins from 214 individuals in order to validate the proposed recognition method.  ...  Vein recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications.  ...  dorsal hand vein image.  ... 
doi:10.1109/mva.2015.7153214 dblp:conf/mva/Lee15 fatcat:td2u4ak72fh7bfnpcrhu6fsavm

State of the Art in Vascular Biometrics [chapter]

Andreas Uhl
2019 Advances in Computer Vision and Pattern Recognition  
This book chapter provides a comprehensive discussion of the respective state of the art, covering hand-oriented techniques (finger vein, palm vein, (dorsal) hand vein and wrist vein recognition) as well  ...  We discuss commercial sensors and systems, major algorithmic approaches in the recognition toolchain, available datasets, public competitions and open-source software, template protection schemes, presentation  ...  (Dorsal) Hand Vein Recognition Toolchain There are no specific review articles on (dorsal) hand vein recognition, but [151, 275] review work on various types of hand-based vein recognition techniques  ... 
doi:10.1007/978-3-030-27731-4_1 fatcat:e3kxblj74verhaouxrjmnt6axe

Biometrics Recognition based on Image Local Features Ordinal Encoding

Simina Emerich, Bogdan Belean
2017 International Journal of Advanced Computer Science and Applications  
However, image representation and recognition is an open problem.  ...  The aim of the paper is to embrace ordinal measurements for image analysis and to apply the concept for a real problem, such as biometric identification.  ...  The final vector consists in N*27 features, where N is the number of considered blocks: 8 for iris images and 9 for dorsal hand veins images.  ... 
doi:10.14569/ijacsa.2017.081242 fatcat:lmnldu4ainexpidspoxtjew3ju

Three-Dimensional Finger Vein Recognition: A Novel Mirror-Based Imaging Device

Christof Kauba, Martin Drahanský, Marie Nováková, Andreas Uhl, Štěpán Rydlo
2022 Journal of Imaging  
Despite various improvements in recognition accuracy and usability, finger vein recognition is still far from being perfect as it suffers from low-contrast images and other imaging artefacts.  ...  Three-dimensional or multi-perspective finger vein recognition technology provides a way to tackle some of the current problems, especially finger misplacement and rotations.  ...  The authors claim that their approach should help to overcome hand registration and posture change problems present in handvein recognition if only 2D vein patterns/images are available.  ... 
doi:10.3390/jimaging8050148 pmid:35621912 pmcid:PMC9145039 fatcat:uvtunrxkufgfzpn4jjecydpz7y

A Recognition System for Partially Occluded Dorsal Hand Vein Using Improved Biometric Graph Matching

Fu Liu, Shoukun Jiang, Bing Kang, Tao Hou
2020 IEEE Access  
Moreover, we propose a recognition system for partially occluded dorsal hand vein.  ...  INDEX TERMS Dorsal hand vein recognition, biometric graph matching, occlusion, databases.  ...  Therefore, we present an improved BGM (IBGM) method for dorsal hand vein recognition systems.  ... 
doi:10.1109/access.2020.2988714 fatcat:czswqn5ctbfnhjm6nwvvkflpda

Dorsal hand veins features extraction and recognition by correlation coefficient

Maha A. Rajab, Kadhim M. Hashim
2022 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
One of the most convenient biometrics approaches for identifying a person is dorsal hand veins recognition.  ...  As a result, we conclude that our proposed method for recognizing dorsal hand veins is feasible and effective.  ...  [12] suggested a method for extracting features from an image of the dorsal vein.  ... 
doi:10.12928/telkomnika.v20i4.22068 fatcat:e3l3or7mnnccpp3iygloqyhxne

Dorsal Hand Vein Identification Based on Binary Particle Swarm Optimization

2017 Journal of Information Processing Systems  
The dorsal hand vein biometric system developed has a main objective and specific targets; to get an electronic signature using a secure signature device.  ...  In this paper, we present our signature device with its different aims; respectively: The extraction of the dorsal veins from the images that were acquired through an infrared device.  ...  Binarization by integral image for the extraction of dorsal hand veins.  ... 
doi:10.3745/jips.03.0066 fatcat:ywttgbwb3rcfxo2g35jvxilnoe

Intelligent Technique for Human Authentication using Fusion of Finger and Dorsal Hand Veins

Mona A. Ahmed, Abdel-Badeeh M. Salem
2021 WSEAS Transactions on Information Science and Applications  
We developed an image analysis technique to extract region of interest (ROI) from finger and dorsal hand veins image.  ...  After extracting ROI we design a sequence of preprocessing steps to improve finger and dorsal hand veins images using Median filter, Wiener filter and Contrast Limited Adaptive Histogram Equalization (  ...  For finger vein recognition, we employ the Monogenic Local Binary Pattern (MLBP), and for hand vein recognition an Improved Gaussian Matched Filter (IGMF).  ... 
doi:10.37394/23209.2021.18.12 fatcat:mvzenj2tunfuhcdcbzyibhalfm

Dorsal Hand Vein Enhancement and Fake Vein Detection

Shou-kun JIANG, Fu LIU, Bing KANG, Zi-yue YOU, Yu-xuan ZONG
2017 DEStech Transactions on Computer Science and Engineering  
We use several methods to enhance dorsal hand vein images, the recognition rate with guided filter is the best.  ...  The enhancement algorithm uses guided filter (GF) to process hand vein images. The guided filter is used as an edge-preserving smoothing operator.  ...  Conclusion and Future Works We have presented a new method for hand vein image enhancing.  ... 
doi:10.12783/dtcse/aita2017/16030 fatcat:756cactyivaopbtr54cdjnogxq
« Previous Showing results 1 — 15 out of 2,467 results