A5114215857- Image Processing Techniques and Applications
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Infrared Target Detection Methodologies
- Image Enhancement Techniques
- Advanced Algorithms and Applications
- CCD and CMOS Imaging Sensors
- Biometric Identification and Security
- User Authentication and Security Systems
- Forensic and Genetic Research
- Blind Source Separation Techniques
- IoT-based Smart Home Systems
- Spectroscopy Techniques in Biomedical and Chemical Research
- Machine Learning and ELM
- Advanced Measurement and Detection Methods
- Advanced Image Fusion Techniques
- Industrial Vision Systems and Defect Detection
- Advanced Computational Techniques and Applications
- Water Quality Monitoring Technologies
University of Electronic Science and Technology of China
2012-2024
Institute of Electronics
2024
Xihua University
2018-2019
In conventional iris recognition Systems, matching is considered as binary-classification problem-authentic and imposter matching. Many existing methods employ simple distance to implement matching, such Hamming distance. These can't make full use of feature generate relatively high FRR (False Reject Rate), FAR Accept in addition, these are less robust. To overcome this problem, paper, we treat a multi-classification problem ferns classifier which fit nicely into naive Bayesian framework...