Algorithm for Detection and Elimination of False Minutiae in Fingerprint Images

Authors:
Seonjoo Kim;Dongjae Lee;Jaihie Kim
Affiliations:
-;-;-
Venue:
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Year:
2001

Citing 4
Cited 5

On-Line Fingerprint Verification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Image Enhancement: Algorithm and Performance Evaluation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent biometric techniques in fingerprint and face recognition

Intelligent biometric techniques in fingerprint and face recognition
Direct Gray-Scale Minutiae Detection In Fingerprints

IEEE Transactions on Pattern Analysis and Machine Intelligence

Detecting fingerprint minutiae by run length encoding scheme

Pattern Recognition
Preprocessing and postprocessing for skeleton-based fingerprint minutiae extraction

Pattern Recognition
Fingerprint image processing and minutiae extraction for fuzzy vault

Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Fingerprint image processing and fuzzy vault implementation

Journal of Mobile Multimedia
A study on multi-unit fingerprint verification

AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication

Quantified Score

Hi-index	0.00

Visualization

Abstract

A common problem in fingerprint recognition is the existence of false minutiae which increase both FAR and FRR in fingerprint matching. In this paper, a robust minutiae postprocessing algorithm is proposed. Unlike most algorithms which use simple distance and connectivity criterions for postprocessing, we also used orientation and flow of ridges as the key factor for postprocessing to avoid eliminating true minutiae while postprocessing. It is shown by the experiments that our postprocessing algorithm improves the minutiae extraction accuracy and the performance of the matching process.