Laser & Optoelectronics Progress, Volume. 56, Issue 10, 101010(2019)
Palm Vein Classification Based on Deep Neural Network and Random Forest
[4] Wei Z S, Qiu X C, Sun Z N et al. Counterfeit iris detection based on texture analysis. [C]∥2008 19th International Conference on Pattern Recognition, December 8-11, 2008, Tampa, FL, USA. New York: IEEE, 1-4(2008).
[6] Li Q. The theoretical and experimental study on palm vein recognition technology[D]. Wuhan: Huazhong University of Science and Technology(2010).
[7] Watanabe M. Palm vein authentication[M]. London: Springer, 75-88(2008).
[10] Lee Y P. Palm vein recognition based on a modified (2D) 2LDA [J]. Signal, Image and Video Processing, 9, 229-242(2015).
[16] LeCun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 521, 436-444(2015).
[18] He K M, Zhang X Y, Ren S Q et al. Delving deep into rectifiers: surpassing human-level performance on ImageNet classification. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1026-1034(2015).
[21] Noh H, Hong S, Han B. Learning deconvolution network for semantic segmentation. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1520-1528(2015).
[25] Sargano A B, Wang X F, Angelov P et al. Human action recognition using transfer learning with deep representations. [C]∥2017 International Joint Conference on Neural Networks (IJCNN), May 14-19, 2017, Anchorage, AK, USA. New York: IEEE, 463-469(2017).
[26] Wu W, Yuan W Q. A survey of palm-vein image recognition[J]. Journal of Image and Graphics, 18, 1215-1224(2013).
[27] Kumar A, Wang K. Identifying humans by matching their left palmprint with right palmprint images using convolutional neural network[S.l.:s.n.], 1-6(2016).
[28] Yosinski J, Clune J, Bengio Y et al. How transferable are features in deep neural networks?[S.l.:s.n.], 3320-3328(2014).
[29] Chen P. Principal component analysis and its application in feature extraction Xi'an:[D]. Shaanxi Normal University(2014).
[31] Li H[M]. Statistical learning method(2012).
[32] Liu Y Q, Zhou Y J, Qiu S R et al[M]. Real-time locating method for palmvein image acquisition, 94-110(2015).
Get Citation
Copy Citation Text
Lisha Yuan, Mengying Lou, Yaqin Liu, Feng Yang, Jing Huang. Palm Vein Classification Based on Deep Neural Network and Random Forest[J]. Laser & Optoelectronics Progress, 2019, 56(10): 101010
Category: Image Processing
Received: Oct. 30, 2018
Accepted: Dec. 12, 2018
Published Online: Jul. 4, 2019
The Author Email: Yaqin Liu (liuyq@smu.edu.cn), Jing Huang (jhuangyg@smu.edu.cn)