Results 1 to 10 of about 77,299 (106)
Finger Vein Recognition Using Local Line Binary Pattern [PDF]
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.
Bakhtiar Affendi Rosdi +2 more
doaj +7 more sources
Face recognition using improved local line binary pattern
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 ...
Shahrel A Suandi, Bakhtiar Affendi Rosdi
exaly +4 more sources
MULTISPECTRAL DORSAL HAND VEIN RECOGNITION BASED ON LOCAL LINE BINARY PATTERN
Nowadays, dorsal hand vein recognition is one of the most recent multispectral biometrics technologies used for the person identification/authentication.
Fransisca J Pontoh +3 more
doaj +2 more sources
Contactless Biometric Based on Palm Vein Recognition Using Wavelet and Local Line Binary Patterns
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 +2 more sources
High-Speed Railway Fastener Detection Based on a Line Local Binary Pattern [PDF]
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 Cosman, Bailin Li
exaly +4 more sources
LOCAL LINE BINARY PATTERN FOR FEATURE EXTRACTION ON PALM VEIN RECOGNITION
In recent years, palm vein recognition has been studied to overcome problems in conventional systems in biometrics technology (finger print, face, and iris). Those problems in biometrics includes convenience and performance. However, due to the clarity of the palm vein image, the veins could not be segmented properly.
Jayanti Yusmah Sari +2 more
doaj +2 more sources
A new system for finger-vein recognition is proposed based on the Complete Local Binary pattern (CLBP) as afeature extractor and the Phase Only Correlation (POC) for post-processing alignment and for speeding up the system.
Ahmed A. Mustafa, Ahmed AK. Tahir
doaj +1 more source
A deformation measurement method based on surface texture information of rocks and its application
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 +6 more
doaj +1 more source
Understanding Unsupervised Deep Learning for Text Line Segmentation
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 +5 more
doaj +1 more source
Although a graph-based semisupervised learning (SSL) approach can utilize limited numbers of labeled samples for hyperspectral image (HSI) classification, it is difficult to use the large amount of pixels in an HSI to construct a large-scale graph.
Longshan Yang +4 more
doaj +1 more source

