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Updated: Apr 3, 2026
10:14
Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
Published on: September 2, 2020
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Low-quality fingerprint recognition using a limited ellipse-band-based matching method
Summary
This study introduces a new fingerprint recognition algorithm that improves accuracy, especially for low-quality images. The novel method uses Fourier-Mellin transformation and ellipse bands to overcome limitations of traditional minutia-based approaches.
Area of Science:
- Biometrics
- Image Processing
- Pattern Recognition
Background:
- Current fingerprint recognition primarily uses minutia-based algorithms.
- Minutia algorithms struggle with low-quality fingerprint images and rotation variations.
Purpose of the Study:
- To propose a novel fingerprint recognition algorithm.
- To enhance recognition accuracy for low-quality and rotated fingerprint images.
Main Methods:
- Utilizes a limited ellipse-band-based matching method.
- Incorporates Fourier-Mellin transformation to handle rotation invariance.
- Employs an ellipse band on frequency amplitude to suppress noise.
Main Results:
- The proposed algorithm demonstrates increased recognition accuracy.
- Significant improvements were observed for low-quality fingerprint images.
- The method effectively addresses limitations of rotation in recognition.
Conclusions:
- The novel ellipse-band-based algorithm offers superior performance.
- This approach enhances the reliability of fingerprint recognition systems.
- It provides a robust solution for challenging image conditions.
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