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Fingerprint recognition by combining global structure and local cues
Jinwei Gu1, Jie Zhou, Chunyu Yang
1Department of Automation, Tsinghua University, Beijing, China. gujinwei98@mails.tsinghua.edu.cn
Summary
This study introduces a new fingerprint recognition method combining minutiae and orientation fields for improved accuracy. The novel approach enhances fingerprint matching by integrating global structure and local cues, outperforming existing techniques.
Area of Science:
- Biometrics
- Computer Vision
- Pattern Recognition
Background:
- Fingerprint recognition traditionally relies on minutiae points.
- Orientation fields offer valuable global structural information but are challenging to integrate into matching.
- Existing methods often overlook or implicitly use orientation field data.
Purpose of the Study:
- To propose a novel fingerprint representation incorporating both minutiae and model-based orientation fields.
- To develop a fingerprint matching system that leverages both global and local features.
- To enhance the accuracy and robustness of fingerprint recognition.
Main Methods:
- Developed a new feature template combining minutiae and orientation field data.
- Implemented a matching strategy that integrates decisions from orientation field and minutiae matchers.
- Conducted experiments on large-scale fingerprint databases.
Main Results:
- The proposed system significantly improves fingerprint matching performance compared to state-of-the-art methods.
- Combining local (minutiae) and global (orientation field) information enhances accuracy and robustness.
- The system achieves efficient feature extraction and matching (approx. 0.30 s) with a compact template (<420 bytes).
Conclusions:
- Integrating orientation fields into fingerprint matching alongside minutiae provides superior performance.
- The novel representation is beneficial for aligning incomplete or poor-quality fingerprints.
- This approach offers a more robust and accurate solution for fingerprint recognition.
Related Concept Videos
01:03IR Frequency Region: Fingerprint Region
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
The...
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Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...