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Scattering removal for finger-vein image restoration
Jinfeng Yang1, Ben Zhang, Yihua Shi
1Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China. jfyang@cauc.edu.cn
Sensors (Basel, Switzerland)
|June 28, 2012
Summary
Poor quality finger-vein images hinder recognition accuracy. This study introduces a biological optical model (BOM) to remove scattering, significantly improving image quality and matching performance.
Area of Science:
- Biometrics
- Image Processing
- Computer Vision
Background:
- Finger-vein recognition is gaining traction but suffers from low-quality images.
- Poor image quality compromises feature representation and recognition accuracy.
Purpose of the Study:
- To analyze factors causing finger-vein image degradation.
- To propose an effective image restoration method for improved finger-vein recognition.
Main Methods:
- Developed a biological optical model (BOM) for finger-vein imaging.
- Estimated and removed light scattering components based on BOM.
- Applied scattering removal for finger-vein image restoration.
Main Results:
- The proposed method effectively enhances finger-vein image contrast.
- Restored images lead to improved finger-vein matching accuracy.
- Demonstrated the efficacy of scattering removal in image quality enhancement.
Conclusions:
- The developed biological optical model and scattering removal technique significantly improve finger-vein image quality.
- This method offers a simple yet powerful solution for enhancing finger-vein recognition accuracy.
