Results 31 to 40 of about 126,496 (264)

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

Feature Descriptor Based on Local Binary Pattern with Equidistant Ring [PDF]

Jisuanji gongcheng, 2017
Existing descriptors are generally associated with principal direction.When the images are transformed,deviation usually occurs in the principal direction of the descriptors,which leads to unsatisfactory image matching results.In order to solve this ...
YU Qiang,NIE Hongyu,ZHANG Jingjing
doaj   +1 more source

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

Journal 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, Shahrinaz Ismail, Noormadinah Allias   +2 more
doaj   +3 more sources

Texture feature method based on Gaussian local binary pattern

Dianzi 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

Measurable Residual Disease Monitoring During Treatment for Pediatric Acute Myeloid Leukemia in First Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen, Kristian Juul Sandahl, Lene Karlsson, Jonas Abrahamsson, Nira Arad‐Cohen, Daniel Cheuk, Barbara De Moerloose, Linda Fogelstrand, Jose Maria Fernandez Navarro, Bianca F. Goemans, Kirsi Jahnukainen, Gertjan Kaspers, Zhanna Kovalova, Monica Cheng Munthe‐Kaas, Ulrika Norén‐Nyström, Josefine Palle, Ramune Pasauliene, Cornelis Jan Pronk, Kadri Saks, Anne Tierens, Henrik Hasle, Kristian Løvvik Juul‐Dam   +21 more
wiley   +1 more source

Single-input and multi-input local binary pattern classification

IJAIN (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, Anik Nur Handayani, Heru Wahyu Herwanto, Rosa Andrie Asmara, Roesman Ridwan Raja   +4 more
doaj   +1 more source

Image Analysis with Local Binary Patterns [PDF]

, 2005
The local binary pattern approach has evolved to represent a significant breakthrough in texture analysis, outperforming earlier methods in many applications. Perhaps the most important property of the LBP operator in real-world applications is its tolerance against illumination changes.
openaire   +1 more source

Sociodemographic Factors Associated With Later Stage at Diagnosis of Pediatric Germ Cell Tumors: A Report From Children's Oncology Group Registries ACCRN07 and APEC14B1

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Germ cell tumors (GCTs) often arise in the ovaries and testes (extracranial) but can also develop in the brain (intracranial). We examined the relationship of individual, family, and community‐level socioeconomic status (SES) with stage of disease at diagnosis in a cohort of pediatric patients with GCT from Children's Oncology Group
Heydon K. Kaddas, Judy Y. Ou, Todd Alonzo, Logan G. Spector, Negar Fallahazad, Emily Owens, Anne C. Kirchhoff, Adam L. Green   +7 more
wiley   +1 more source

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

E3S 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

FLBP: Fuzzy Local Binary Patterns

, 2013
In this chapter, a variant of the Local Binary Patterns method that extends the ability of the method to cope with noisy texture by utilizing fuzzy modelling techniques is presented. The presented generalised Fuzzy Binary Patterns model is applied to the classic Local Binary Patterns method as well as to the Local Binary Patterns with Contrast measure ...
Katsigiannis, S., Keramidas, E., Maroulis, D.   +2 more
openaire   +2 more sources