Identifying three-dimensional palmprints with Modified Four-Patch Local Binary Pattern (MFPLBP) [PDF]
Palmprint biometrics is the best method of identifying an individual with a unique palmprint for every person. The present paper formulates a new methodology towards the identification of 3D palmprints using the Modified Four- Patch Local Binary Pattern (
Musab T.S. Al-Kaltakchi +2 more
doaj +1 more source
Employee attendance system using face recognition and GPS using local binary pattern histogram
Tracking employee attendance is an integral part of running a company in an organized and economical manner. Conventional approaches such as manual sign-ins and RFID cards or fingerprint scanning have shown important weaknesses, especially with regard to
Narahari Vigraha Prasada, Ikrimach
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Demographic Classification with Local Binary Patterns [PDF]
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH feature in ordinary binary classification problem. Given a restricted local patch, the Chi square distance between the extracted LBPH and a reference histogram is used as a ...
Zhiguang Yang, Haizhou Ai
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Weighted Local Active Pixel Pattern (WLAPP) for Face Recognition in Parallel Computation Environment
- The availability of multi-core technology resulted totally new computational era. Researchers are keen to explore available potential in state of art-machines for breaking the bearer imposed by serial computation.
Gundavarapu Mallikarjuna Rao
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Evaluation of deepfake detection using YOLO with local binary pattern histogram. [PDF]
Hubálovský Š +3 more
europepmc +1 more source
Skin lesion classification using multi-resolution empirical mode decomposition and local binary pattern. [PDF]
Samsudin SS +4 more
europepmc +1 more source
Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy. [PDF]
Berbar MA.
europepmc +1 more source
Texture Features of Aglaonema Leaves with Local Binary Pattern Code
The Aglaonema type and quality is difficult to identify due to leaf pattern variety. For this reason, a technique is developed to classify Aglaonema types from leaf images. The Aglaonema is identified using the Local Binary Pattern (LBP) technique.
Agung Tjahjo Nugroho +3 more
doaj +1 more source
Automated speech emotion polarization for a distance education system based on orbital local binary pattern and an appropriate sub-band selection technique. [PDF]
Tanko D +4 more
europepmc +1 more source
CNN-Based Brain Tumor Detection Model Using Local Binary Pattern and Multilayered SVM Classifier. [PDF]
Kolla M +5 more
europepmc +1 more source

