The exploration of facial emotion recognition aims to analyze psychological characteristics
of juveniles involved in crimes and promote the application of deep learning to …

Face recognition is the most active research topics in machine vision because of its highly
secured demands. The fusion of multiple features can enhance the accuracy of face …

Many approaches of texture analysis by color or hyperspectral imaging are based on the
assumption that the image of a texture can be viewed as a multi-component image, where …

In this study, we propose to address the difficult task of bark recognition in the wild using
computationally efficient and compact feature vectors. We introduce two novel generic …

Histogram of Oriented Gradient (HOG) is a robust descriptor which is widely used in many
real‐life applications, including human detection, face recognition, object counting, and …

Color texture classification aims to recognize patterns by the analysis of their colors and their
textures. This process requires using descriptors to represent and discriminate the different …

In order to achieve the effective computer recognition of the She ethnic clothing from
different regions through the extraction of color features, this paper proposes a She ethnic …

Rice is a primary source of people all around the world. Rice quality is mainly depend on the
genetic characteristics of a rice variety. One of the most important tasks for quality control of …

This paper presented a self-transfer learning network (STLN) for multicolor fabric defect
detection. Deep neural networks were adopted to detect defects in objects with complex …

DeepFake is a concern for celebrities and everyone because it is simple to create.
DeepFake images, especially high-quality ones, are difficult to detect using people, local …