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Published on: September 2, 2020
Minutia Cylinder-Code: a new representation and matching technique for fingerprint recognition
Raffaele Cappelli1, Matteo Ferrara, Davide Maltoni
1Biometric System Laboratory-DEIS-University of Bologna, Cesena, Italy. raffaele.cappelli@unibo.it
IEEE Transactions on Pattern Analysis and Machine Intelligence
|October 27, 2010
Summary
We developed the Minutia Cylinder-Code (MCC), a new fingerprint recognition method using 3D data structures. MCC offers superior accuracy and efficiency for lightweight systems.
Area of Science:
- Biometrics
- Computer Science
- Pattern Recognition
Background:
- Fingerprint recognition systems rely on minutiae features.
- Existing methods face challenges with accuracy and computational load.
Purpose of the Study:
- Introduce the Minutia Cylinder-Code (MCC) as a novel fingerprint representation.
- Evaluate MCC's performance against established techniques.
Main Methods:
- Developed MCC using 3D data structures (cylinders) based on minutiae position and direction.
- Defined invariance, fixed-length, and bit-oriented coding for MCC.
- Created local similarity metrics consolidated into a global score.
Main Results:
- Extensive experiments on FVC2006 databases demonstrated MCC's superiority.
- Achieved highly effective and interoperable fingerprint recognition.
- Showcased feasibility for light architecture implementations.
Conclusions:
- MCC provides a robust and efficient approach to fingerprint recognition.
- The method is suitable for resource-constrained environments.
- MCC represents a significant advancement in biometric technology.
