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Related Experiment Video

Updated: Jul 11, 2026

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales
09:56

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Published on: August 21, 2019

Fingerprint image mosaicking by recursive ridge mapping.

Kyoungtaek Choi1, Heeseung Choi, Sangyoun Lee

  • 1Biometric Engineering Research Center, Yonsei University, Seoul 120-749, Korea.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|October 12, 2007
PubMed
Summary

This study introduces a new fingerprint mosaicking method that accurately aligns partial images by matching ridges and compensating for distortion. The improved technique enhances registration accuracy and verification performance.

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IR Frequency Region: Fingerprint Region01:03

IR 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...

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Area of Science:

  • Biometrics
  • Computer Vision
  • Image Processing

Background:

  • Accurate mosaicking of partial fingerprint images is challenging due to plastic distortion and limited correspondences.
  • Existing methods struggle with alignment accuracy because of these factors.

Purpose of the Study:

  • To propose a novel scheme for accurate fingerprint image mosaicking.
  • To overcome limitations of current approaches in handling plastic distortion and correspondence deficiencies.

Main Methods:

  • Iterative ridge matching to address correspondence issues.
  • Thin-plate spline model for compensating plastic distortion.
  • Elimination of erroneous correspondences using geometric relationships and registration error minimization.

Related Experiment Videos

Last Updated: Jul 11, 2026

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales
09:56

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Published on: August 21, 2019

Main Results:

  • Achieved average registration error below three pixels and maximum error below seven pixels.
  • Significantly improved verification performance, reducing the equal error rate from 10% to 2.7% after combining five images.
  • Demonstrated superiority over existing methods in registration accuracy, image quality, minutia extraction rate, and verification.

Conclusions:

  • The proposed method effectively mosaics partial fingerprint images with high accuracy.
  • It robustly handles plastic distortion and improves overall biometric system performance.
  • This technique offers a significant advancement in fingerprint mosaicking for enhanced identification and verification.