Extracting region of interest for palmprint by convolutional neural networks

X Bao, Z Guo - 2016 Sixth International Conference on Image …, 2016 - ieeexplore.ieee.org
Palm ROI extraction is one of the most important processes in palmprint recognition. The
core idea is to employ the valley points between the fingers to establish a coordinate system …

Palmprint verification using complex wavelet transform

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 …

Finger-knuckle-print recognition using BLPOC-based local block matching

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 …

Lightweight Verification Schema for Image‐Based Palmprint Biometric Systems

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 …

Palmprint recognition with improved two-dimensional locality preserving projections

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 …

A palmprint recognition algorithm using phase-based correspondence matching

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 locally discriminant projection for classification and recognition

S Zhang, YK Lei, YH Wu - Knowledge-Based Systems, 2011 - Elsevier
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 …

[PDF][PDF] A contactless palmprint recognition algorithm for mobile phones

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 …

A performance evaluation of filter design and coding schemes for palmprint recognition

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 …

Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics

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 …