Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet

Article Computer Science, Artificial Intelligence

FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public

Peishu Wu et al.

Summary: In this paper, a novel face mask detection framework called FMDYolo is proposed for monitoring whether people wear masks correctly in public. Experimental results demonstrate the superiority of FMDYolo in face mask detection.

IMAGE AND VISION COMPUTING (2022)

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Article Computer Science, Artificial Intelligence

DADCNet: Dual attention densely connected network for more accurate real iris region segmentation

Ying Chen et al.

Summary: The paper proposes using a mask image segmented by a deep learning method to replace the corresponding GT image, addressing the issue of errors in GT images for iris recognition technology. Experimental results show that the proposed method achieves superior performance in iris segmentation.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence

Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision

Han Li et al.

Summary: In the context of the global COVID-19 pandemic, a computer aided diagnosis model called Cov-Net is proposed for accurate recognition of COVID-19 from chest X-ray images. Experimental results demonstrate the high feasibility and accuracy of the model in identifying COVID-19. Compared to other algorithms, Cov-Net exhibits superior performance and competitiveness in this task.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

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Article Computer Science, Information Systems

Architecture Design for Feature Extraction and Template Matching in a Real-Time Iris Recognition System

Hau Ngo et al.

Summary: This paper presents an efficient parallel and pipeline architecture design for iris recognition, which reduces computational complexity and increases performance capability. Experimental results show that the proposed design achieves a speedup of 881 times compared to conventional methods and can be integrated with an embedded microprocessor to realize a complete system-on-chip solution for a portable iris recognition system.

ELECTRONICS (2021)

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Article Computer Science, Information Systems

Local discriminant coding based convolutional feature representation for multimodal finger recognition

Shuyi Li et al.

Summary: The proposed LC-CNN method for multimodal finger recognition combines fingerprint, finger-vein, and finger-knuckle-print traits to achieve stable, highly accurate, and robust performance.

INFORMATION SCIENCES (2021)

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Article Computer Science, Information Systems

IriTrack: Face Presentation Attack Detection Using Iris Tracking

Meng Shen et al.

Summary: The paper introduces IriTrack, a simple and efficient face Presentation Attack Detection (PAD) system that uses iris movement as a significant evidence to identify face artefacts. Users are required to move their eyes along a randomly generated poly-line, and deviations from the resulting trajectories of their irises are used to detect presentation attacks. Extensive experiments show that IriTrack can defend against artefacts with moderate time and memory overheads.

PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT (2021)

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Article Computer Science, Information Systems