L Zhang, Z Guo, Z Wang… - 2007 IEEE International …, 2007 - ieeexplore.ieee.org
Palmprint is a unique and reliable biometric characteristic with high usability. With the increasing demand of automatic palmprint authentication systems, the development of …
S Aoyama, K Ito, T Aoki - The First Asian Conference on Pattern …, 2011 - ieeexplore.ieee.org
This paper proposes a Finger-Knuckle-Print (FKP) recognition algorithm using Band-Limited Phase-Only Correlation (BLPOC)-based local block matching. The phase information …
A Giełczyk, M Choraś, R Kozik - Mobile Information Systems, 2019 - Wiley Online Library
Palmprint biometrics is a promising modality that enables efficient human identification, also in a mobile scenario. In this paper, a novel approach to feature extraction for palmprint …
X Pan, QQ Ruan - Image and Vision Computing, 2008 - Elsevier
Recently, two-dimensional locality preserving projections (2DLPP) was proposed to extract features directly from image matrices based on locality preserving criterion. Though 2DLPP …
K Ito, S Iitsuka, T Aoki - 2009 16th IEEE International …, 2009 - ieeexplore.ieee.org
Palmprint images taken from a camera are distorted due to movement of a hand and fingers. To achieve reliable palmprint recognition, it is necessary to employ a recognition algorithm …
Semi-supervised dimensional reduction methods play an important role in pattern recognition, which are likely to be more suitable for plant leaf and palmprint classification …
S Aoyama, K Ito, T Aoki, H Ota - International Workshop on …, 2013 - aoki.ecei.tohoku.ac.jp
Mobile phones have become indispensable and pow-erful digital devices to use many services. To protect mobile devices and stored data, biometric authentication would play an …
F Yue, W Zuo, K Wang, D Zhang - 2008 19th International …, 2008 - ieeexplore.ieee.org
Palmprint recognition, as one of the most promising biometrics, has received considerable recent biometric research interest. Among various palmprint recognition techniques, coding …
M Wan, Z Lai, J Shao, Z Jin - Neurocomputing, 2009 - Elsevier
This paper proposes a novel method, called two-dimensional local graph embedding discriminant analysis (2DLGEDA), for image feature extraction, which can directly extract the …