AGCNN: Adaptive Gabor Convolutional Neural Networks with Receptive Fields for Vein Biometric Recognition

[1]  Weijun Li,et al.  Adaptive Gabor Convolutional Neural Networks for Finger-Vein Recognition , 2019, 2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS).

[2]  Gongping Yang,et al.  Anchor-based manifold binary pattern for finger vein recognition , 2018, Science China Information Sciences.

[3]  J. P. Jones,et al.  An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. , 1987, Journal of neurophysiology.

[4]  Gongping Yang,et al.  Finger Vein Code: From Indexing to Matching , 2019, IEEE Transactions on Information Forensics and Security.

[5]  Wei Jia,et al.  Histogram of Oriented Lines for Palmprint Recognition , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[6]  Rabia Bakhteri,et al.  Finger-vein biometric identification using convolutional neural network , 2016 .

[7]  Gongping Yang,et al.  Learning personalized binary codes for finger vein recognition , 2019, Neurocomputing.

[8]  Leonid I. Perlovsky,et al.  Cramer-Rao bounds for the estimation of means in a clustering problem , 1988, Pattern Recognit. Lett..

[9]  Lawrence D. Jackel,et al.  Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.

[10]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[11]  Stan Z. Li,et al.  Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition , 2016, IEEE Transactions on Cybernetics.

[12]  Jinfeng Yang,et al.  Finger-vein segmentation based on multi-channel even-symmetric Gabor filters , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[13]  S Marcelja,et al.  Mathematical description of the responses of simple cortical cells. , 1980, Journal of the Optical Society of America.

[14]  Jinfeng Yang,et al.  Finger-Vein Recognition Based on a Bank of Gabor Filters , 2009, ACCV.

[15]  Yilong Yin,et al.  SDUMLA-HMT: A Multimodal Biometric Database , 2011, CCBR.

[16]  J. P. Jones,et al.  The two-dimensional spatial structure of simple receptive fields in cat striate cortex. , 1987, Journal of neurophysiology.

[17]  Riza Sulaiman,et al.  Review on finger vein authentication system by applying neural network , 2010, 2010 International Symposium on Information Technology.

[18]  Liping Zhang,et al.  Adaptive Learning Gabor Filter for Finger-Vein Recognition , 2019, IEEE Access.

[19]  Guoqing Wang,et al.  Spatial Pyramid Pooling of Selective Convolutional Features for Vein Recognition , 2018, IEEE Access.

[20]  Patrizio Campisi,et al.  Convolutional Neural Network for Finger-Vein-Based Biometric Identification , 2019, IEEE Transactions on Information Forensics and Security.

[21]  Shan Juan Xie,et al.  An available database for the research of finger vein recognition , 2013, 2013 6th International Congress on Image and Signal Processing (CISP).

[22]  Bhiksha Raj,et al.  SphereFace: Deep Hypersphere Embedding for Face Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[23]  Peng Chen,et al.  Finger vein recognition based on deep learning , 2017, 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[24]  Jian Cheng,et al.  Additive Margin Softmax for Face Verification , 2018, IEEE Signal Processing Letters.

[25]  Tien Dat Nguyen,et al.  Finger-Vein Image Enhancement Using a Fuzzy-Based Fusion Method with Gabor and Retinex Filtering , 2014, Sensors.

[26]  Yihua Shi,et al.  Image restoration and enhancement for finger-vein recognition , 2012 .

[27]  Kang Ryoung Park,et al.  Multimodal Biometric Recognition Based on Convolutional Neural Network by the Fusion of Finger-Vein and Finger Shape Using Near-Infrared (NIR) Camera Sensor , 2018, Sensors.

[28]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[29]  Mounim A. El-Yacoubi,et al.  Deep Representation-Based Feature Extraction and Recovering for Finger-Vein Verification , 2017, IEEE Transactions on Information Forensics and Security.

[30]  Ajay Kumar,et al.  Human Identification Using Finger Images , 2012, IEEE Transactions on Image Processing.

[31]  Wei Pi,et al.  An effective quality improvement approach for low quality finger vein image , 2010, 2010 International Conference on Electronics and Information Engineering.

[32]  Ju Cheng Yang,et al.  Robust Finger Vein ROI Localization Based on Flexible Segmentation , 2013, Sensors.