Face recognition is used in many applications such as access control, automobile security, criminal identification, immigration, healthcare, cyber security, and so on. Each person has his/her own unique face, so the face can help distinguish ...

Neurodegenerative diseases cause significant irregularities in walking patterns, impacting gait dynamics and rhythms analyzed through gait time series. Human gait analysis is a promising avenue for identifying unique walking patterns. Automated ...

Optical Character Recognition (OCR) is a method to convert a scanned photo of“handwritten character recognition (HCR) or printed character recognition (PCR)” into a form of digital text. HCR is a version of OCR, which is remarkably modeled to ...

Classification is a significant step in many applications like image classifications, text recognition, categorization of speech, facial expression classification and so on. And the features fed to the classifier affects the accuracy or ...

Alzheimer’s disease is a degenerative brain disease that impairs memory, thinking skills, and the ability to perform even the most basic tasks. The primary challenge in this domain is accurate early stage disease detection. When the disease is ...

The secure transmission of medical images and related digital patient records on untrusted channels has recently become a focus in healthcare industries. Data hiding and encryption are important tools for this goal. This paper proposes a data-...${}_{\mathrm{}}$${}_{\mathrm{}}$${\mathrm{}}^{\mathrm{}}$

Feature extraction has a significant impact on the accuracy of Content-Based Image Retrieval (CBIR) algorithms since the content of images is encoded in feature vectors. In this paper, an effective method for texture feature extraction is ...

In texture classification, local binary pattern (LBP) is currently one of the most widely-concerned feature encoding models. Most existing LBP-based texture classification methods are usually limited to single-kind texture features. In fact, an ...

• A multi-scale across-domain feature fusion of textures and contours is proposed.
• The first deep model of CellNN (dCellNNs) with two-stage training is proposed.
• The three-channel texture contour extractor of dCellNNs is designed.

Efficient algorithms, intelligent approaches, and intensive use of computers are crucial to extracting reliable information from large-scale data sets. It is the case, for example, in retrieving information from multimedia data. As different ...

Emotion recognition using electroencephalogram signals has been widely studied in the last decade, achieving artificial intelligence models that accurately classify primitive or primary emotions. However, most of these models focus on signal ...

Biometric technology has drawn increasing attention and significance importance in recent years. In biometric security systems, personal identification and verification rely on their physical, behavioral, and biological characteristics. In this ...

The Local Binary Pattern (LBP) is a commonly used method for texture classification that performs well in terms of feature discrimination. However, (1) LBP can misclassify some important edge-located textures as non-uniform patterns ...

Binary pattern family has received unprecedented attention due to its primary role in texture representation. Texture images usually have strong region attributes and show dramatic changes from coarse regions to flats regions. However, most ...

In recent years, facial micro-expression recognition based on deep learning technology has become an important research hotspot. These techniques have been used by researchers in psychology, computer vision, and security to make breakthroughs. ...

Biometric data (facial, voice, fingerprint, and retinal scans, for example) are widely used in identification due to their unique and irreversible nature. Facial recognition technologies are employed in a wide range of applications due to their ...

The necessity for personal data protection has become increasingly critical in recent years. The single trait-based authentication fails in many cases and hence multimodal biometric traits are utilized in this work. This research work focuses on ...

Parkinson’s is a movement-related progressive disorder that causes irreversible damage and heavily derails the patient’s life. PD is generally detected via inspection of symptoms and family history by neurologists which may be inefficient, time-...

LBP is a successful hand-crafted feature descriptor in computer vision. However, in the deep learning era, deep neural networks, especially convolutional neural networks (CNNs) can automatically learn powerful task-aware features that are more ...

Automatic facial expression recognition (AFER), sometimes referred to as emotional recognition, is important for socializing. Automatic methods in the past two years faced challenges due to Covid-19 and the vital wearing of a mask. Machine ...

Fungal diseases of banana is a global threat to banana production and cultivation. Diagnosis of these diseases using an identification system limited by human visual capabilities often lead to misinterpretation of diseases, causing severe yield ...