Decade progress of palmprint recognition: A brief survey
As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
Improving biometric identification performance using PCANet deep learning and multispectral palmprint
Biometric technology is an emerging field of information technology that recognizes a
person based on a feature vector derived from specific physiological or behavioral …
person based on a feature vector derived from specific physiological or behavioral …
The application of deep learning and image processing technology in laser positioning
In this study, machine vision technology was used to precisely position the highest energy of
the laser spot to facilitate the subsequent joining of product workpieces in a laser welding …
the laser spot to facilitate the subsequent joining of product workpieces in a laser welding …
[图书][B] Biometric Security and Privacy
Biometrics in modern computer science is defined as the automated use of biological
properties to identify individuals. The early use of biometrics can be dated back to nearly …
properties to identify individuals. The early use of biometrics can be dated back to nearly …
掌纹识别研究进展综述
钟德星， 朱劲松， 杜学峰 - 模式识别与人工智能, 2019 - cqvip.com
掌纹图像蕴含丰富特征, 容易与手背静脉, 指节纹及手形特征进行多模态融合,
因此成为生物特征识别领域的热点. 文中主要从掌纹的采集, 感兴趣区域的检测 …
因此成为生物特征识别领域的热点. 文中主要从掌纹的采集, 感兴趣区域的检测 …
Image processing technology and deep learning application: in relation to the context of laser positioning
WM Jwaid - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
In the current investigation, there was the use of the technology of machine vision. The
usage of this technology was informed by the need to have the laser spot's highest energy …
usage of this technology was informed by the need to have the laser spot's highest energy …
An improved recognition approach for noisy multispectral palmprint by robust L2 sparse representation with a tensor-based extreme learning machine
D Cheng, X Zhang, X Xu - Sensors, 2019 - mdpi.com
For the past decades, recognition technologies of multispectral palmprint have attracted
more and more attention due to their abundant spatial and spectral characteristics compared …
more and more attention due to their abundant spatial and spectral characteristics compared …
Biometrics and Information Security for a Secure Person Identi cation
M KORICHI - 2019 - dspace.univ-ouargla.dz
Secure information systems are critically important to modern day businesses and so-cieties.
From banking systems and medical systems to infrastructures surveillance or an e …
From banking systems and medical systems to infrastructures surveillance or an e …
Impact of the lossy image compression on the biometric system accuracy: a case study of hand biometrics
D Samai, A Meraoumia, M Bedda… - … Journal of Computer …, 2021 - inderscienceonline.com
Biometric recognition systems are used in several cases, to recognise people using images.
Storing of large images require large storage space. To reduce the storage space …
Storing of large images require large storage space. To reduce the storage space …