Yin Li

ORCID: 0009-0007-0713-2152
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About
Contact & Profiles
Research Areas
  • Blind Source Separation Techniques
  • Advanced SAR Imaging Techniques
  • EEG and Brain-Computer Interfaces
  • Radar Systems and Signal Processing
  • Forensic Fingerprint Detection Methods
  • Advanced X-ray and CT Imaging
  • Computer Graphics and Visualization Techniques
  • Algorithms and Data Compression
  • Advanced Radiotherapy Techniques
  • Microwave Imaging and Scattering Analysis
  • Medical Imaging Techniques and Applications
  • Industrial Vision Systems and Defect Detection
  • ECG Monitoring and Analysis
  • 3D Shape Modeling and Analysis
  • Handwritten Text Recognition Techniques
  • Medical Image Segmentation Techniques
  • Sparse and Compressive Sensing Techniques
  • Asian Culture and Media Studies
  • Vehicle License Plate Recognition
  • Target Tracking and Data Fusion in Sensor Networks

Shenzhen University
2024

University of Electronic Science and Technology of China
2024

Sun Yat-sen University
2023

Sixth Affiliated Hospital of Sun Yat-sen University
2023

First Affiliated Hospital of Jinan University
2021

Institute of Electronics
2015

Communication University of China
2014

Huainan Normal University
2014

Jilin University
2008

A license plate location method based on projection and genetic algorithm was proposed in this paper. Projection located the left right edges of plate. Genetic searched region with second order moment as objective function which described texture quantitatively. Four sub-nets were designed to classify Chinese characters, alphabet & numeral characters toughly. Small nets recognize several similar structure precisely. Experiments indicates that locating accuracy paper is 97%. The can...

10.1109/csse.2008.344 article EN 2008-12-01

Optical coherence tomography (OCT), as a non-invasive and high-resolution three-dimensional imaging technology, can capture biological tissue structure information under the skin of fingertips. This facilitates stronger anti-spoofing capability automatic fingerprint recognition systems (AFRSs), reconstructed internal images based on structural are more robust against poor conditions. Various reconstruction methods have been proposed, but these approaches often ignore continuity spatial...

10.1109/tifs.2024.3402387 article EN IEEE Transactions on Information Forensics and Security 2024-01-01
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