Histogram of oriented lines for palmprint recognition

W Jia, RX Hu, YK Lei, Y Zhao… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Subspace learning methods are very sensitive to the illumination, translation, and rotation
variances in image recognition. Thus, they have not obtained promising performance for …

[PDF][PDF] Histogram of Oriented Lines for Palmprint Recognition

W Jia, RX Hu, YK Lei, Y Zhao, J Gui - IEEE TRANSACTIONS ON …, 2014 - researchgate.net
Subspace learning methods are very sensitive to the illumination, translation, and rotation
variances in image recognition. Thus, they have not obtained promising performance for …

Histogram of Oriented Lines for Palmprint Recognition

W Jia, RX Hu, YK Lei, Y Zhao, J Gui - IEEE Transactions on Systems, Man …, 2014 - infona.pl
Subspace learning methods are very sensitive to the illumination, translation, and rotation
variances in image recognition. Thus, they have not obtained promising performance for …

[引用][C] Histogram of Oriented Lines for Palmprint Recognition

W Jia, RX Hu, YK Lei, Y Zhao, J Gui - IEEE Transactions on Systems …, 2014 - cir.nii.ac.jp
Histogram of Oriented Lines for Palmprint Recognition | CiNii Research CiNii 国立情報学研究所
学術情報ナビゲータ[サイニィ] 論文・データをさがす 大学図書館の本をさがす 日本の博士論文をさがす …

Histogram of Oriented Lines for Palmprint Recognition

W Jia, RX Hu, YK Lei, Y Zhao, J Gui - IEEE TRANSACTIONS ON …, 2014 - openreview.net
Subspace learning methods are very sensitive to the illumination, translation, and rotation
variances in image recognition. Thus, they have not obtained promising performance for …

[引用][C] Histogram of Oriented Lines for Palmprint Recognition

WEI JIA, RX HU, YK LEI, Y ZHAO… - IEEE transactions on …, 2014 - pascal-francis.inist.fr
Histogram of Oriented Lines for Palmprint Recognition CNRS Inist Pascal-Francis CNRS
Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …

Histogram of Oriented Lines for Palmprint Recognition

W Jia, RX Hu, YK Lei, Y Zhao, J Gui - IEEE TRANSACTIONS ON …, 2014 - openreview.net
Subspace learning methods are very sensitive to the illumination, translation, and rotation
variances in image recognition. Thus, they have not obtained promising performance for …