Sistem Pengenalan Wajah dengan Algoritma Haar Cascade dan Local Binary Pattern Histogram

Robust Facial Expression Recognition using Local Haar Mean Binary Pattern

In this paper, we propose a hybrid statistical feature extractor, Local Haar Mean Binary Pattern (LHMBP). It extracts level-1 haar approximation coefficients and computes Local Mean Binary Pattern (LMBP) of it. LMBP code of pixel is obtained by weighting the thresholded neighbor value of 3  3 patch on its mean. LHMBP produces highly discriminative code compared to other state of the art method...

Multi-scale local Binary Pattern Histogram for Face Recognition

Liu Tao: a Novel Feature Extraction Algorithm for Haar Local Binary Pattern Texture

The locality and edges of texture image may be ignored by the Haar local binary pattern texture features owing to strong subjectivity and poor ability to self-adaptive to the artificial setting judgment threshold. Therefore, from the perspective of Human Vision System (HVS), the new Haar local binary pattern texture feature extraction algorithm (HLBP_HVS) is proposed. The local and global struc...

Local Binary Pattern Networks

Memory and computation efficient deep learning architectures are crucial to continued proliferation of machine learning capabilities to new platforms and systems. Binarization of operations in convolutional neural networks has shown promising results in reducing model size and computing efficiency. In this paper, we tackle the problem using a strategy different from the existing literature by p...

Face Detection Algorithm Based on Haar and Local Binary Pattern Features

Face detection is one of the hottest research topics of the field of pattern recognition, image processing, machine vision, and etc. This paper proposes a novel method for fast and reliable face detection, especially in complex background. Firstly, the Haar features of the training image are extracted, and then the training image is divided into small blocks to extract local binary pattern (LBP...