Results 1 to 10 of about 465,701 (114)

Contactless Biometric Based on Palm Vein Recognition Using Wavelet and Local Line Binary Patterns

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
To support the roadmap for coexistence with Covid-19, contactless biometrics is needed as an individual identity verification technology in daily activities such as control systems, recording attendance at offices/schools/agencies and access rights to a ...
Jayanti Yusmah Sari, Suharsono Bantun
doaj   +3 more sources

Patterns of Drug Resistance and Treatment Outcomes in Drug-Resistant Tuberculosis Patients in Fuyang City: A Three-Year Retrospective Study [PDF]

Infection and Drug Resistance
Wei Wang,1,* Yuxin Gao,2,* Yong Gao,3 Tuantuan Li,4 Yan Liu,4 Xiaowu Wang,4 Xiaoyu Fang,5 Yunyun Ding4 1Department of Clinical Laboratory, People’s Hospital of Fuyang City, Fuyang, Anhui, 236000, People’s Republic of China; 2Departments ...
Wang W, Gao Y, Gao Y, Li T, Liu Y, Wang X, Fang X, Ding Y   +7 more
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Face recognition using improved local line binary pattern

SPIE Proceedings, 2012
This paper presents a new technique, named Improved Local Line Binary Pattern (ILLBP), which is an operator for illumination-robust face recognition from a single training image. In order to empirically demonstrate effectiveness of the proposed approach, we use Principal Component Analysis-Nearest Neighbour (PCA-NN) and multi-class Support Vector ...
Wuh Shing Chai, Bakhtiar Affendi Rosdi, Shahrel Azmin Suandi   +2 more
  +5 more sources

A deformation measurement method based on surface texture information of rocks and its application

International Journal of Mining Science and Technology, 2023
Users of the digital image correlation method are faced with the problem of poor operability, low repeatability, and lack of standardized specifications for spraying speckles.
Yanbo Zhang, Xin Han, Peng Liang, Xulong Yao, Qun Li, Guangyuan Yu, Qi Wang   +6 more
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Understanding Unsupervised Deep Learning for Text Line Segmentation

Applied Sciences, 2022
We propose an unsupervised feature learning approach for segmenting text lines of handwritten document images with no labelling effort. Humans can easily group local text line features to global coarse patterns.
Ahmad Droby, Berat Kurar Barakat, Raid Saabni, Reem Alaasam, Boraq Madi, Jihad El-Sana   +5 more
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Finger Vein Recognition Using Local Line Binary Pattern [PDF]

Sensors, 2011
In this paper, a personal verification method using finger vein is presented. Finger vein can be considered more secured compared to other hands based biometric traits such as fingerprint and palm print because the features are inside the human body. In the proposed method, a new texture descriptor called local line binary pattern (LLBP) is utilized as
Bakhtiar Affendi Rosdi, Shahrel Azmin Suandi, Chai Wuh Shing   +2 more
openaire   +3 more sources

Identifying Urban Poverty Using High-Resolution Satellite Imagery and Machine Learning Approaches: Implications for Housing Inequality

Land, 2021
Enriching Asian perspectives on the rapid identification of urban poverty and its implications for housing inequality, this paper contributes empirical evidence about the utility of image features derived from high-resolution satellite imagery and ...
Guie Li, Zhongliang Cai, Yun Qian, Fei Chen   +3 more
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AN IMPLICIT REGULARIZATION FOR 3D BUILDING ROOFTOP MODELING USING AIRBORNE LIDAR DATA [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
This paper proposes a new algorithm to generalize noisy polylines comprising a rooftop model by maximizing a shape regularity (orthogonality, symmetricity and directional simplications).
G. Sohn, Y. Jwa, J. Jung, H. Kim
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High-Speed Railway Fastener Detection Based on a Line Local Binary Pattern [PDF]

IEEE Signal Processing Letters, 2018
Traditional image features are not able to effectively represent railway fasteners under varied illumination and conditions. We propose the line local binary pattern encoding method that considers the relationship between the center point and its upper and lower neighborhoods. The method can effectively represent the key components of fasteners.
Hong Fan, Pamela C. Cosman, Yun Hou, Bailin Li   +3 more
openaire   +3 more sources

Finger Vein Recognition Based on Local Directional Code

Sensors, 2012
Finger vein patterns are considered as one of the most promising biometric authentication methods for its security and convenience. Most of the current available finger vein recognition methods utilize features from a segmented blood vessel network.
Rongyang Xiao, Yilong Yin, Xianjing Meng, Gongping Yang   +3 more
doaj   +1 more source