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Singular value decomposition based minutiae matching method for finger vein recognition

Fei Liu, Gongping Yang, Yilong Yin, Shuaiqiang Wang
2014 Neurocomputing  
In this paper, we propose SVDMM, a singular value decomposition (SVD)-based minutiae matching method for finger vein recognition, which involves three stages: (I) minutia pairing, (II) false removing and  ...  Originating from fingerprint recognition, minutiae-based methods are recognized as an important branch, which attempts to discover minutia patterns from finger vein images for matching and recognition.  ...  Acknowledgments The authors would particularly like to thank the anonymous reviewers for their helpful suggestions.  ... 
doi:10.1016/j.neucom.2014.05.069 fatcat:7mq4c3h23jfmpc32yh642piuoy

Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger Vein

T. Sheeba, M. Justin Bernard
2012 International Journal of Computer Applications  
., fingerprint and finger vein image acquisition, preprocessing, feature extraction, feature matching and fusion.  ...  This study proposes a survey of multimodal fingerprint and finger vein recognition techniques.  ...  value decomposition (SVD) and fuzzy measures [14] etc.  ... 
doi:10.5120/8042-1358 fatcat:565kfedazzc55fhbr75eewdh7y

Finger Vein Recognition by Generating Code [article]

Zhongxia Zhang, Mingwen Wang
2021 arXiv   pre-print
To tack these problems, this paper proposes a new finger vein recognition by generating code.  ...  Firstly, the finger vein images were divided into blocks to calculate the mean value. Then the centrosymmetric coding is performed by using the generated eigenmatrix.  ...  Typical methods based on minutiae include minutiae matching based on improved Hausdorff distance matching [10] and minutiae matching based on singular value decomposition [11] .  ... 
arXiv:2101.08415v1 fatcat:ru4ftwojjbhmfk5sxvhpwkq6lq

Biometric, Fingervein, Machine L Implementation of a Security System, Using Captured Fingervein, Applying the Concepts of Machine Learning

Oyinloye Oghenerukevwe Elohor, Akinbohun Folake, Thompson Aderonke, Korede Bashir
2020 International Journal Of Engineering And Computer Science  
This work explores the field of biometric finger vein recognition – which is the identification of individuals using the unique vein patterns under their finger skins.  ...  This work thus confirms that finger vein recognition shows great promise as an accurate solution to modern society's problem of automated personal authentication  ...  The method is rooted in a local binary pattern-based method and then inclined to use the best bits only for matching.  ... 
doi:10.18535/ijecs/v9i04.4470 fatcat:5ijoqsgbjzaynijhincaxi642q

Palm-Print Pattern Matching Based on Features Using Rabin-Karp for Person Identification

S. Kanchana, G. Balakrishnan
2015 The Scientific World Journal  
Palm-print based individual identification is regarded as an effectual method for identifying persons with high confidence.  ...  Palm-print with larger inner surface of hand contains many features such as principle lines, ridges, minutiae points, singular points, and textures.  ...  Singular Value Decomposition (SVD) [1] based minutiae matching method involved in the recognition of individuals through finger vein though resulted in improved identification of individuals with compromised  ... 
doi:10.1155/2015/382697 pmid:26697529 pmcid:PMC4678081 fatcat:ni54ixezynf5fibn5o5y4itimm

Image Fusion of Fingerprints using Fractal Representation and Dual Tree Complex Wavelet Transform

Chiteranjan Sahu
2018 International Journal for Research in Applied Science and Engineering Technology  
Fingerprint Recognition or fingerprint confirmation alludes to the mechanized strategies for checking a match between two human fingerprints.  ...  Keywords: Image fusion, fractal dimension based image fusion, complex dual tree wavelet transform. I.  ...  These images are trained and applied dual tree complex wavelet decomposition method for better matching.  ... 
doi:10.22214/ijraset.2018.6269 fatcat:muju3fzitjdo3dwpphvuqoz5nm

Finger vein recognition based on deformation information

Xianjing Meng, Xiaoming Xi, Gongping Yang, Yilong Yin
2017 Science China Information Sciences  
(MHD) with minutiae feature matching [14] and singular value decomposition (SVD)-based minutiae matching (SVDMM) [15], define the cross and end points of vessels as minutiae and then calculate their similarity  ...  methods, minutiae-based methods, and machine-learning-based methods. (1) Local pattern-based methods extract pixel-based features for the whole ROI, then match the features using a pixel-to-pixel technique  ...  The performance indicates that the proposed method is a superior candidate for the finger vein recognition task.  ... 
doi:10.1007/s11432-016-9037-0 fatcat:2mqvzvvgcvanhcgbbmetqo64mu

Survey on finger-vein segmentation and authentication

Shwetambari Kharabe, C. Nalini
2017 International Journal of Engineering & Technology  
The reviews are based on finger vein basic principles, image acquisition methodology, pre-processing functions, segmentation, feature extraction,classification, matching and identification procedures,  ...  This paper in brief, reviews various approaches used for finger vein segmentation and feature extraction.  ...  Memik (2010) proposed Radon transform and Singular Value Decomposition (SVD) method for finger vein identificationb  ... 
doi:10.14419/ijet.v7i1.2.8962 fatcat:pvvvje532jbevkor7qqer3mq5q

Finger Vein Recognition based on Fusion of Deformation Information

Xianjing Meng, Xiaoming Xi, Zongwei Li, Qing Zhang
2020 IEEE Access  
First, the pixel-level features are extracted to represent the finger vein images. Next, the best matching for each pixel is discovered by an optimized matching.  ...  However, the deformation problem in finger vein images is still a challenge preventing the performance of finger vein recognition from prefect.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their helpful comments and colleagues who made the databases publicly available.  ... 
doi:10.1109/access.2020.2979902 fatcat:46n76b75qbat7e7mbxnnmlt4ze

Finger Vein Identification Based On Transfer Learning of AlexNet

Subha Fairuz, Mohamed Hadi Habaebi, Elsheikh Mohamed Ahmed Elsheikh
2018 2018 7th International Conference on Computer and Communication Engineering (ICCCE)  
This system works by recognizing patterns from finger vein images and these images are captured using a camera based on near-infrared technology.  ...  Nowadays finger vein-based validation systems are getting extra attraction among other authentication systems due to high security in terms of ensuring data confidentiality.  ...  .2017.03.039 Singular value decomposition based minutiae matching method for finger vein recognition Cited 37 times www.elsevier.com/locate/neucom View at Publisher 17 Convolutional Neural Network  ... 
doi:10.1109/iccce.2018.8539256 fatcat:zonsqtqm65cehb2bwvjlt4omcm

From Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition

2018 IEEE Transactions on Information Forensics and Security  
A series of rigorous contrast experiments on three open-access databases demonstrates that our proposed method is feasible and effective for finger vein recognition.  ...  In this paper, we exploit this kind of noise as a novel soft biometric trait for achieving better finger vein recognition performance.  ...  [20] presented a singular value decomposition (SVD)-based minutiae matching method for finger vein recognition. Considering that the vein networks consist of vein curve segments, Yang et al.  ... 
doi:10.1109/tifs.2018.2866330 fatcat:iwn7bfpbdrb4lgt6c2zbg7rgny

Feature Extraction for Finger-Vein-Based Identity Recognition

George K. Sidiropoulos, Polixeni Kiratsa, Petros Chatzipetrou, George A. Papakostas
2021 Journal of Imaging  
This paper aims to provide a brief review of the feature extraction methods applied for finger vein recognition.  ...  The presented study is designed in a systematic way in order to bring light to the scientific interest for biometric systems based on finger vein biometric features.  ...  [25] proposed a minutiae matching method based on singular value decomposition (SVD), which consists of three distinct processing steps: minutia pairing, false pair removal, and score calculating.  ... 
doi:10.3390/jimaging7050089 pmid:34460685 pmcid:PMC8321326 fatcat:r4epe2lg6vfvrepjlfhut7qx2i

A Novel EMD based Watermarking of Fingerprint Biometric Using GEP

Anil Kumar Shaw, Swanirbhar Majumder, Souvik Sarkar, Subir Kumar Sarkar
2013 Procedia Technology - Elsevier  
The watermarking algorithm provided uses singular value decomposition (SVD) and lifting based discrete wavelet transform (DWT).  ...  Here a process of embedding fingerprints data using a novel method of empirical mode decomposition (EMD) and gene expression programming (GEP) together is provided.  ...  In fingerprint recognition system, the directional field is used for enhancement of the fingerprint together with the singular points for classification, while the minutiae are used for matching.  ... 
doi:10.1016/j.protcy.2013.12.350 fatcat:33kx5kes4rcfdkvn4n3isguune

COMPARISON OF WAVELET TRANSFORM FOR IMAGE RECOGNITION SYSTEM USING LEARNING VECTOR QUANTIZATION

Rizal Adi Saputra
2021 Zenodo  
In Fingerprint recognition system the accuracy is 85% and 90% for face recognition system  ...  Nowadays image is very important for recognition system as source/data. In order to obtain certain information (features), image transformed or extracted.  ...  Method Result [2] Wavelet + Canberra Distance Accuracy: Up 95% [3] Fast Fourier Transform (FFT) and Minutiae Extraction -- [4] Wavelet Transform and Singular Value Decomposition Accuracy  ... 
doi:10.5281/zenodo.5034913 fatcat:wveh3r3ylzgu5gzrvsq2xjcs6i

Multimodal Authentication of Ocular Biometric and Finger Vein Verification in Smartphones: A Review

Dheeraj Hebri, Vasudeva .
2018 International Journal of Engineering & Technology  
Finger vein and ocular-based multimodal biometric authentication system are one of the major techniques which have been considered for efficient identification and verification purpose.  ...  This system mainly works in some common stages which include, scanning of finger vein and ocular, pre-processing, feature extraction and matching of finger vein and ocular in a database as well.  ...  The scheme offers efficient features extraction based on Radon transform and Singular Value Decomposition (SVD). Later, the classification is achieved based on the measurement of normalized distance.  ... 
doi:10.14419/ijet.v7i3.12.15909 fatcat:d2l6qttibvgvzjadwj4bx7cfui
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