Results 41 to 50 of about 687,695 (187)

Deep Learning in Face Recognition for Attendance System: An Exploratory Study

open access: yesJournal of Computing Research and Innovation, 2022
Conventional-manual type of attendance systems can be very time-consuming to some extent, particularly for a significant number. The existence of face recognition technology can solve the inefficiency and ineffectiveness of conventional and manual ...
Mochamad Azkal Azkiya Aziz   +2 more
doaj   +3 more sources

Deep Local Binary Patterns

open access: yes, 2017
Local Binary Pattern (LBP) is a traditional descriptor for texture analysis that gained attention in the last decade. Being robust to several properties such as invariance to illumination translation and scaling, LBPs achieved state-of-the-art results in several applications.
Fernandes, Kelwin, Cardoso, Jaime S.
openaire   +2 more sources

Analysis of local binary patterns and uniform local binary patterns for palm vein biometric recognition [PDF]

open access: yes2017 International Carnahan Conference on Security Technology (ICCST), 2017
Palm vein recognition has emerged as a novelty highly invariant biometric technique that is difficult to forge due to their internal nature. In this work the texture descriptors Local Binary Patterns (LBP) and Uniform Local Binary Patterns (LBPU) are analyzed as feature extraction methods for biometric verification based on palm veins.
Aglio Caballero, Alicia   +3 more
openaire   +2 more sources

Pit pattern classification using extended Local Binary Patterns [PDF]

open access: yes2009 9th International Conference on Information Technology and Applications in Biomedicine, 2009
In this work we present a method for automated classification of endoscopic images according to the pit pattern classification scheme. Images taken during colonoscopy are transformed using a modified version of the Local Binary Patterns operator (LBP).
M. Hafner   +5 more
openaire   +1 more source

Single-input and multi-input local binary pattern classification

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics)
Identification and classification of species are crucial for maintaining genetic diversity and supporting sustainable agricultural practices. The Toraja Buffalo, a unique type of buffalo in Indonesia, holds high cultural and economic value.
Abdul Rachman Manga   +4 more
doaj   +1 more source

Bleeding Detection in Gastrointestinal Images using Texture Classification and Local Binary Pattern Technique: A Review [PDF]

open access: yesE3S Web of Conferences, 2020
Texture analysis has proven to be a breakthrough in many applications of computer image analysis. It has been used for classification or segmentation of images which requires an effective description of image texture. Due to high discriminative power and
Goyal Aparna, Gunjan Reena
doaj   +1 more source

Glassy features of a Bose Glass

open access: yes, 2008
We study a two-dimensional Bose-Hubbard model at a zero temperature with random local potentials in the presence of either uniform or binary disorder. Many low-energy metastable configurations are found with virtually the same energy as the ground state.
A. Vezzani   +13 more
core   +1 more source

Surface Defect Classification for Hot-Rolled Steel Strips by Selectively Dominant Local Binary Patterns [PDF]

open access: yes, 2019
Developments in defect descriptors and computer vision-based algorithms for automatic optical inspection (AOI) allows for further development in image-based measurements.
Ai, Jiaqiu   +6 more
core   +3 more sources

Local Binary Patterns for Graph Characterization [PDF]

open access: yes2018 24th International Conference on Pattern Recognition (ICPR), 2018
In this paper we propose a novel approach for defining Local Binary Patterns (LBP) to directly encode graph structure. LBP is a simple and widely used technique for texture analysis in static 2D images, and there is no work in the literature describing its generalisation to graphs.
Jawad, Mohammed   +2 more
openaire   +2 more sources

Texture feature method based on Gaussian local binary pattern

open access: yesDianzi Jishu Yingyong, 2018
The texture description of machine vision is important for image analysis and pattern recognition. To improve the robustness of feature describing, a texture feature based on Gaussian local binary pattern(LBP) is proposed in this paper.
Huang Chen, Fei Jiyou, Liu Xiaodong
doaj   +1 more source

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