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Finger Vein Recognition Scheme Based on Convolutional Neural Network Using Curvature Gray Image

Jia-Yi Zhao, Jin Gong, Si-Teng Ma, Zhe-Ming Lu, Shu-Chuan Chu, John F. Roddick
2019 Journal of network intelligence  
In order to improve the accuracy of the finger vein recognition algorithm under small samples, a finger vein recognition algorithm based on convolutional neural network using curvature gray images is proposed  ...  Using curvature gray images as input, an improved convolutional neural network is trained and used to recognize the identity of the input curvature gray image.  ...  Thus, this paper proposes a finger vein recognition algorithm based on convolutional neural network and curvature gray image(CGI).  ... 
dblp:journals/jni/ZhaoGMLCR19 fatcat:cqd5hz4iijakjdjurgoynp67fu

Curvature Gray Feature Decomposition Based Finger Vein Recognition with an Improved Convolutional Neural Network

Jia-Yi Zhao, Jin Gong, Si-Teng Ma, Zhe-Ming Lu
2020 International Journal of Innovative Computing, Information and Control  
Finger vein recognition (FVR) is a technique for identity authentication based on finger vein images (FVIs) that are acquired using a specific device, which has become one of hot spots in the field of  ...  In order to further improve the accuracy and speed up the training process, a new FVR algorithm based on the improved convolutional neural network (CNN) and curvature gray feature decomposition (CGFD)  ...  This paper presents a finger vein recognition algorithm based on an improved convolutional neural network using the vein curvature gray feature image (VCGFI) as input.  ... 
doi:10.24507/ijicic.16.01.77 fatcat:rieaqlzdhzdj3lkxvcxh4qa5wa

Deep Belief Network Based Finger Vein Recognition Using Histograms of Uniform Local Binary Patterns of Curvature Gray Images

Zhi-Min Fang, Zhe-Ming Lu
2019 International Journal of Innovative Computing, Information and Control  
Firstly, the curvature of the finger vein image is calculated by using a two-dimensional Gaussian template, and the curvature gray image is obtained.  ...  Conventional FVR schemes are based on extracting features of the overall image or features of the vein pattern.  ...  This paper presents a finger vein recognition algorithm based on DBN using ULBP processed curvature gray images as input.  ... 
doi:10.24507/ijicic.15.05.1701 fatcat:ditey2nlfzh4pihp4zqya5lvmi

Double stages of feature extarction-based GFPMI for colored finger vein identification

Dawlat Mustafa Sulaiman, Adnan Mohsin Abdulazeez, Habibollah Haron
2020 Indonesian Journal of Electrical Engineering and Computer Science  
The recurrent based residual neural network (RNN) is used to identify the finger vein images.  ...  We propose Globalized Features Pattern Map Indication (GFPMI) to extract the globalized finger vein line features basede on using two generated vein image datasets: original gray level color, globalized  ...  [11] proposed a convolutional neural network (CNN) based local feature descriptor for finger vein recognition.  ... 
doi:10.11591/ijeecs.v18.i2.pp927-937 fatcat:eweh4yae4ndxzneh76jxhk3sma

A Systematic Review of Finger Vein Recognition Techniques

Kashif Shaheed, Hangang Liu, Gongping Yang, Imran Qureshi, Jie Gou, Yilong Yin
2018 Information  
This paper presents a detailed review on finger vein recognition algorithms.  ...  Finger vein recognition is a biometric technique used to analyze finger vein patterns of persons for proper authentication.  ...  Global thresholding, Gabor filter SVM [61] ROI extraction, image resize Convolutional neural network Convolutional neural network [100] ROI extraction, normalization Image contrast, gradient  ... 
doi:10.3390/info9090213 fatcat:ipoq4eo65vhbrmqjv4zyztizwy

Deep Representation-Based Feature Extraction and Recovering for Finger-Vein Verification

Huafeng Qin, Mounim A. El-Yacoubi
2017 IEEE Transactions on Information Forensics and Security  
a robust finger-vein feature recovering scheme based on a Fully Convolutional Network (FCN).  ...  FULLY CONVOLUTIONAL NETWORK-BASED FINGER-VEIN FEATURE RECOVERING Based on the anatomy of finger skin (as shown in Fig.1 ), the vein network patterns are clear and connective.  ... 
doi:10.1109/tifs.2017.2689724 fatcat:dpdky6g7qrhj5cpcvcniqw2kai

FVR-Net: Finger Vein Recognition with Convolutional Neural Network Using Hybrid Pooling

Lakpa Dorje Tamang, Byung Wook Kim
2022 Applied Sciences  
In this paper, we present FVR-Net, which is a novel finger vein recognition network using a convolutional neural network (CNN) with a hybrid pooling mechanism.  ...  The scheme is based on the use of a block-wise feature extraction network to extract discrete features from interclass vein image samples, regardless of their visual quality.  ...  In [29] , a densely connected convolutional neural network (DenseNet) was used for finger vein recognition where the matching score was generated by the score level fusion of shape and texture images.  ... 
doi:10.3390/app12157538 fatcat:dyaa6fmomfac3g33e2pa3fg3ly

Finger-Vein Verification Based on LSTM Recurrent Neural Networks

Huafeng Qin, Peng Wang
2019 Applied Sciences  
Secondly, several Stacked Convolutional Neural Networks and Long Short-Term Memory (SCNN-LSTM) models are independently trained on the resulting sequences.  ...  This paper proposes a deep learning model to extract vein features by combining the Convolutional Neural Networks (CNN) model and Long Short-Term Memory (LSTM) model.  ...  To solve this problem, many segmentation-based methods are proposed to segment robust vein network for finger-vein recognition.  ... 
doi:10.3390/app9081687 fatcat:otdl2monxbbphj6yv4lmzrgz2a

Delta Ruled Fully Recurrent Deep Learning for Finger-Vein Verification

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The designed DRFRDL technique used numbers of hidden layers in order to deeply examine the input finger vein images.  ...  The result of the hidden layer is feeding back into the network along with the inputs in order to find outs the vein features that exist in a given image.  ...  A novel method was designed in [5] based on finger vein patterns through employing region of interest extraction and oriented elements feature extraction scheme.  ... 
doi:10.35940/ijitee.b7303.129219 fatcat:smnqt2mtdza3dlcgcfrnvmesxa

Adaptive Learning Gabor Filter for Finger-Vein Recognition

Yakun Zhang, Weijun Li, Liping Zhang, Xin Ning, Linjun Sun, Yaxuan Lu
2019 IEEE Access  
We combine convolutional neural networks with a Gabor filter to calculate the gradient of the Gabor-filter parameters, based on the objective function, and to then optimize its parameters via back-propagation  ...  INDEX TERMS Gabor filters, vein recognition, convolutional nerual networks, adaptive learning.  ...  The experimental scheme in this paper is mainly based on a CNNs with the ordinary convolution layer replaced by a Gabor convolution layer.  ... 
doi:10.1109/access.2019.2950698 fatcat:lhzkenqfnbc5xcjnroxwhxfkjy

Predication of Most Significant Features in Medical Image by Utilized CNN and Heatmap

Lubab Ahmed Tawfeeq, Samera Shams Hussein, Mahir jasem Mohammed, Shaimaa Sattar Abood
2021 Journal of Information Hiding and Multimedia Signal Processing  
The utilization of neural networks, mainly, in recent days, the convolutional neural networks (CNN), have powerful descriptors for computer added diagnosis systems.  ...  However, the model is differed from traditional activation mapping based methods, that this model is the dependent on gradients via obtaining the weight of all activation map via make use of it is forward  ...  Zhao et al. (2019) [12] , used an enhanced CNN for finger vein recognition, where they enhanced the accuracy of finger vein recognition algorithm (algorithm based on CNN that used curvature gray images  ... 
dblp:journals/jihmsp/TawfeeqHMA21 fatcat:grv2myeqsbev7fc2ebxx2zw6zi

Research on Finger Vein Image Segmentation and Blood Sampling Point Location in Automatic Blood Collection

Xi Li, Zhangyong Li, Dewei Yang, Lisha Zhong, Lian Huang, Jinzhao Lin
2020 Sensors  
In order to accurately locate the blood sampling point in the venous area, we propose a new finger vein image segmentation approach basing on Gabor transform and Gaussian mixed model (GMM).  ...  Then, finger vein image segmentation is achieved by Gabor-GMM system and optimized by the max flow min cut method which is based on the relative entropy of the foreground and the background.  ...  [41] identifies the vein network by properties of curvature, which can solve the problem that image gray transform generates fake vein networks.  ... 
doi:10.3390/s21010132 pmid:33379213 pmcid:PMC7795357 fatcat:vqwaavxubfa3lhl6vfc62vodhy

Exploring Competitive Features Using Deep Convolutional Neural Network for Finger Vein Recognition

Yu Lu, Shanjuan Xie, Shiqian Wu
2019 IEEE Access  
INDEX TERMS Competitive pattern, finger vein, convolutional neural network.  ...  Deep convolutional neural networks (DCNN) have been applied successfully for finger vein recognition and have achieved promising performance in the past three years.  ...  [1] introduced a novel finger vein verification system based on a two-stream convolution network learning approach.  ... 
doi:10.1109/access.2019.2902429 fatcat:rlp5rclxtbgcjhml42qrnhqy3q

Feature Extraction for Finger-Vein-Based Identity Recognition

George K. Sidiropoulos, Polixeni Kiratsa, Petros Chatzipetrou, George A. Papakostas
2021 Journal of Imaging  
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.  ...  This paper aims to provide a brief review of the feature extraction methods applied for finger vein recognition.  ...  Imaging 2021, 7, 89  ... 
doi:10.3390/jimaging7050089 pmid:34460685 pmcid:PMC8321326 fatcat:r4epe2lg6vfvrepjlfhut7qx2i

GAN-based Blur Restoration for Finger Wrinkle Biometrics System

Nam Sun Cho, Chan Sik Kim, Chanhum Park, Kang Ryoung Park
2020 IEEE Access  
This study proposes a method for restoring and recognizing motion-blurred finger wrinkle images based on a generative adversarial network and deep convolutional neural network.  ...  Additionally, visible light, camera-based 2D face recognition, palm print recognition, touchless fingerprint recognition, and finger knuckle print recognition are difficult to be used in mobile devices  ...  This study proposes a method for GAN-based restoration of motion-blurred finger wrinkle images captured by a mobile device's camera and deep convolution neural network (CNN)-based recognition.  ... 
doi:10.1109/access.2020.2980568 fatcat:u3thqq6xzbczpee3nxcqhhjwmm
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