FingerCode: A Filterbank For Fingerprint Representation And Matching.pdf

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📊 Size: 1.06 MB
👤 Author: IEEE
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Summary

Traditional fingerprint representation methods struggle with automatic extraction and underutilize discriminatory information.
- Solution: FingerCode, a filterbank approach using Gabor filters to capture both local and global fingerprint details, creating a compact 640-byte fixed-length representation.
- Matching: Fast matching based on Euclidean distance between two FingerCodes.
- Performance: Initial results show identification accuracies comparable to the best minutiae-based algorithms.
- Improvement: Combining decisions from complementary fingerprint information enhances matching performance.
- Desired Representation: A fixed-length code suitable for matching and storage on smartcards, combining global and local information while maintaining high recognition accuracy.
- Feature Extraction: Tessellates the fingerprint image, extracts features from each sector using a Gabor filterbank, and computes standard deviation of gray values to define the FingerCode.

Description

A filterbank for fingerprint representation and matching, addressing challenges in traditional methods.

Technical Information

  • File Format: PDF
  • File Size: 1.06 MB
  • Pages: 7
  • Language: EN
  • Author: IEEE
  • Total Downloads: 19
  • Last Updated: 3 hours ago

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