Makanan merupakan kebutuhan dasar yang harus dipenuhi bagi kehidupan manusia.
Kebiasaan makan dapat menimbulkan kebiasaan yang baik dan buruk. Kebiasaan makan …

This paper present about handwriting digit recognition system using Local Binary Pattern as
feature extraction method and K-Nearest Neighbor as classification algorithm. This system is …

Pada saat ini Jepang merupakan salah satu negara yang menjadi pilihan bagi pelajar dunia
untuk melanjutkan pendidikan. Pelajar yang ingin melanjutkan pendidikan ke Jepang harus …

ABSTRACT A graduation prediction of student can be regarded as a nonlinear classification
problem involving some academic parameters that has a goal to predict whether a student …

Many variations of local binary pattern (LBP) were proposed to enhance its performance,
including uniform local binary pattern (ULBP), center-symmetric local binary patterns (CS …

A good Arabic handwritten recognition system must consider the characteristics of Arabic
letters which can be explicit such as the presence of diacritics or implicit such as the …

This study aims to compare the results of four feature extraction models in the case of early
recognition of disease attacks on cocoa fruits. The image extraction models used in this …

Offline digit handwritten recognition is one of the frequent studies that is being explored
nowadays. Most of the digit characters have their own handwriting nature. Recognizing their …

This paper presents an image descriptor based on local texture and orientation patterns.
The texture information is embedded in the orientation component. Each pixel gradient …

This paper evaluates and compares the performance of K-Nearest Neighbors (KNN),
Support Vector Machine (SVM) and Sparse Representation Classifier (SRC) for recognition …