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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
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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
Shahrel A Suandi +2 more
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Off-line writer identification using multi-scale local binary patterns and SR-KDA
2013 25th International Conference on Microelectronics (ICM), 2013 Writer identification is becoming an increasingly important research topic especially in forensic and biometric applications. This paper presents a novel method for performing offline write identification by using multi-scale local binary patterns histogram (MLBPH) features.
Somaya Al-Maadeed
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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 +2 more
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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 +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 +5 more
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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 +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 +3 more
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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 +3 more
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