IEEE

Lightweight CNN License Plate Recognition System Based on HSV Color Space Segmentation

Abstract: Aiming at the problems that the license plate recognition system is susceptible to illumination change, viewing angle tilt and noise interference in complex environments, a collaborative ...
IEEE

An Efficient Approach to Fingerprint Recognition with Proposed CNN

Abstract: Fingerprint recognition technologies rely largely on minute details. As multiple previous research investigations have shown fingerprint scans high quality responses from automatic ...
IEEE

Facial Recognition for Locating Missing Child Using CNN Algorithm

Abstract: In India, countless children are reported missing every year, with a significant percentage remaining untraced due to challenges in identification and limited resources. This project ...
IEEE

Early Radar Work Mode Recognition Using Hybrid CNN-Transformer and Reinforcement Learning

In this paper, a novel approach is proposed for early recognition of Radar Work Mode, which integrates a hybrid CNN-Transformer architecture and a Reinforcement Learning strategy. The model processes ...
IEEE

An Improved Gesture Recognition Algorithm Based on the Integration of CNN and Transformer

Abstract: In today's rapidly advancing era of intelligence and digitalization, gesture recognition, as a natural and efficient interaction method, has become an important research direction in the ...
IEEE

Ground HRRP Target Recognition under Low SNR Based on MSFF-CNN Model

Abstract: In low Signal-to-Noise Ratio (SNR) environments, radar target recognition using High-Resolution Range Profiles (HRRP) from airborne platforms faces significant challenges, particularly under ...
IEEE

RadarAttn: Efficient Radar-Based Human Activity Recognition by Integrating Visual Attention and Self-Attention

Abstract: Radar-based human activity recognition (HAR) has emerged as a critical component in various applications, ranging from smart homes to healthcare monitoring. Radar has several advantages: a ...
IEEE

ST-Gesture: Spatio-Temporal Feature Extraction Network for Gesture Recognition Based on Attention Mechanism

Abstract: Gesture recognition, a crucial technology in human-computer interaction, finds applications across various domains, including smart homes, automotive driver assistance systems, and more.
IEEE

Recognition of Stroke Level Based on EEG Signal Using Multi-networks of CNN-Transformer

Abstract: Stroke is a major cause of long-term neurological impairment, and continuous monitoring of post-stroke patients is essential for rehabilitation and relapse prevention. Electroencephalogram ...
IEEE

Integrated License Plate Recognition Using YOLO and CNN for Automated Vehicle Identification

Abstract: Automated License Plate Reader (LPR) technology finds significant use in traffic monitoring, vehicle identification, and security systems. In this paper, we propose a practical LPR system ...
IEEE

Emotion Recognition based on Multimodal Physiological Signals using a CNN-Transformer Model

Abstract: Emotion recognition technology has been receiving significant attention as a potential solution for addressing mental health issues in recent years. Transformer is a deep learning model ...
IEEE

Tactile Recognition Using PVDF Sensor Arrays with Time-Series Image Encoding and CNN

Abstract: To enhance the recognition performance of flexible tactile sensing systems in human-computer interaction (HCI), this letter proposes a tactile signal recognition method for polyvinylidene ...