Face detection systems based on boosted Haar features in a cascade architecture [3] perform very well both in terms of accuracy and speed. However, they are vulnerable to variations in illumination conditions. On the other hand, face detection systems based on the Local Binary Pattern (LBP) [2] or its variants [1] show robustness to illumination conditions but do not take advantage of the richn...

Spontaneous facial micro-expression analysis has become an active task for recognizing suppressed and involuntary facial expressions shown on the face of humans. Recently, Local Binary Pattern from Three Orthogonal Planes (LBP-TOP) has been employed for micro-expression analysis. However, LBP-TOP suffers from two critical problems, causing a decrease in the performance of micro-expression analy...

Abstract To optimize the weak robustness of traditional face recognition algorithms, classification accuracy rate is not high, operation speed slower, so a algorithm based on local binary pattern (LBP) and stacked autoencoder (AE) proposed. The advantage LBP texture structure feature image as initial sparse (SAE) learning, use unified mode operator to extract histogram blocked image, connect fo...

ABSTRACT Unimodal systems have limited information that can be used for identity recognition systems. The multimodal system was created to improve the unimodal system. in this study is combination of face and palms at matching score level. Matching scores done using Weighted Sum Rule method. Extract features from each sample Local Binary Pattern (LBP) Meanwhile, large data dimensions are reduce...

Face spoofing is considered to be one of the prominent threats to face recognition systems. However, in order to improve the security measures of such biometric systems against deliberate spoof attacks, liveness detection has received significant recent attention from researchers. For this purpose, analysis of facial skin texture properties becomes more popular because of its limited resource r...

In this paper, we propose a novel background subtraction algorithm, which takes both texture and motion information into account. Texture information is represented by local binary pattern (LBP), which is tolerant of illumination changes and is computational simplicity. Assuming that there is significant structure in the correlations between observations across time, we propose a novel operator...

Microcomputer Raspberry Pi adalah sebuah alat praktis yang bentuk dan ukurannya tergolong mini dengan kegunaan begitu kompleks, banyak menyebut ini mirip komputer, fungsi tersebut dapat memenuhi berbagai kebutuhan manusia sebagai microcontroller server sampai pengolahan citra digital. Penelitian bertujuan untuk pemenuhan dalam bidang kepraktisan terutama absensi pegawai, mengingat saat kebanyak...

Document recognition is required to convert handwritten and text documents into digital equivalents, making them more easily accessible convenient store. This study combined feature extraction techniques for recognizing Yorùbá in an effort preserve the cultural values heritages of people. Ten were acquired from Kwara State University’s Library, ten indigenous literate writers wrote version docu...

This paper proposes a novel descriptor called Mean-Variance-Median based Local binary pattern (MVM-LBP). The Median (MBP) calculates the difference between median of all pixels in 3 $$\times$$ pixel window and respective eight neighbours. main drawback MBP is that two different windows can have same code which not appropriate face recognition systems. To improve performance system, proposed (MV...