Results 61 to 70 of about 17,197 (187)

Evaluating software-based fingerprint liveness detection using Convolutional Networks and Local Binary Patterns

open access: yes, 2014
With the growing use of biometric authentication systems in the past years, spoof fingerprint detection has become increasingly important. In this work, we implement and evaluate two different feature extraction techniques for software-based fingerprint ...
Lotufo, Roberto de Alencar   +2 more
core   +1 more source

A New Laws Filtered Local Binary Pattern Texture Descriptor for Ultrasound Kidney Images Retrieval

open access: yesApplied Medical Informatics, 2014
Content Based Image Retrieval (CBIR) is an inevitable technique in medical applications. One of the important tasks in CBIR is the feature extraction process.
Chelladurai CALLINS CHRISTIYANA   +1 more
doaj  

Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval

open access: yesIEEE Access
In recent years, color Local Binary Pattern (LBP) based descriptors have garnered substantial attention in computer vision and image analysis. This study presents a comprehensive review of color LBP-based descriptors developed over the past decade ...
Mahmood Sotoodeh   +7 more
doaj   +1 more source

A New Feature-Based Wavelet Completed Local Ternary Pattern (Feat-WCLTP) for Texture Image Classification

open access: yesIEEE Access, 2020
LBP is one of the simplest yet most powerful feature extraction descriptors. Many descriptors based on LBP have been proposed to improve its performance.
Abeer Moh'd Shamaileh   +3 more
doaj   +1 more source

Facial expression recognition based on local region specific features and support vector machines

open access: yes, 2016
Facial expressions are one of the most powerful, natural and immediate means for human being to communicate their emotions and intensions. Recognition of facial expression has many applications including human-computer interaction, cognitive science ...
Ghimire, Deepak   +3 more
core   +1 more source

Local Binary Pattern(LBP) Optimization for Feature Extraction

open access: yes
The rapid growth of image data has led to the development of advanced image processing and computer vision techniques, which are crucial in various applications such as image classification, image segmentation, and pattern recognition. Texture is an important feature that has been widely used in many image processing tasks.
Sedaghatjoo, Zeinab   +2 more
openaire   +2 more sources

Facial expression feature extraction method based on improved LBP

open access: yesJournal of Measurement Science and Instrumentation, 2019
Local binary pattern(LBP) is an important method for texture feature extraction of facial expression. However, it also has the shortcomings of high dimension, slow feature extraction and noeffective local or global features extracted.
WANG Si-ming, LIANG Yun-hua
doaj  

Local Directional Difference and Relational Descriptor for Texture Classification

open access: yesMathematics
The local binary pattern (LBP) has been widely used for extracting texture features. However, the LBP and most of its variants tend to focus on pixel units within small neighborhoods, neglecting differences in direction and relationships among different ...
Weidan Yan, Yongsheng Dong
doaj   +1 more source

Robust Image Hashing Scheme Based on Low-Rank Decomposition and Path Integral LBP

open access: yesIEEE Access, 2019
This paper presents a robust image hashing algorithm that exploits low-rank decomposition and path integral local binary pattern (pi-LBP), referred to LRPL hashing.
Hengfu Yang, Jianping Yin, Ying Yang
doaj   +1 more source

Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification

open access: yes, 2018
Designing discriminative powerful texture features robust to realistic imaging conditions is a challenging computer vision problem with many applications, including material recognition and analysis of satellite or aerial imagery.
Anwer, Rao Muhammad   +4 more
core   +1 more source

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