This work presents a generic computer vision system designed for exploiting trained deep
Convolutional Neural Networks (CNN) as a generic feature extractor and mixing these …

Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

Texture analysis is a major task in many areas of computer vision and pattern recognition,
including biological imaging. Indeed, visual textures can be exploited to distinguish specific …

Biometric authentication systems are quite vulnerable to sophisticated spoofing attacks. To
keep a good level of security, reliable spoofing detection tools are necessary, preferably …

The local binary pattern (LBP) and its variants have shown the effectiveness in texture
images classification, face recognition, and other applications. However, most of these LBP …

A new image retrieval technique using local neighborhood difference pattern (LNDP) has
been proposed for local features. The conventional local binary pattern (LBP) transforms …

Since musical genre is one of the most common ways used by people for managing digital
music databases, music genre recognition is a crucial task, deep studied by the Music …

This paper proposes a novel method for classifying six categories of patterns of fluorescence
staining of a HEp-2 cell. The proposed method is constructed as a combination of the …

In this work, we present an ensemble for automated audio classification that fuses different
types of features extracted from audio files. These features are evaluated, compared, and …

Leaf image patterns have been actively researched for plant species recognition. However,
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …