On the use of level curves in image analysis
CVGIP: Image Understanding
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curvature-Based Singular Points Detection
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
New Enhancement Algorithm for Fingerprint Images
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Fingerprint classification based on extraction and analysis of singularities and pseudoridges
VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Efficient fingerprint search based on database clustering
Pattern Recognition
A Novel Fingerprint Matching Algorithm Using Ridge Curvature Feature
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Fingerprint classification based on Adaboost learning from singularity features
Pattern Recognition
Using genetic algorithms for fingerprint core point detection
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Proceedings of the 2010 Symposium on Information and Communication Technology
Latent fingerprint rarity analysis in Madrid bombing case
IWCF'10 Proceedings of the 4th international conference on Computational forensics
Fingerprint directional image enhancement
IWCF'10 Proceedings of the 4th international conference on Computational forensics
Fingerprint orientation field reconstruction by weighted discrete cosine transform
Information Sciences: an International Journal
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A robust fingerprint recognition algorithm should tolerate the rotation and translation of the fingerprint image. One popular solution is to consistently detect a unique reference point and compute a unique reference orientation for translational and rotational alignment. This paper develops an effective algorithm to locate a reference point and compute the corresponding reference orientation consistently and accurately for all types of fingerprints. To compute the reliable orientation field, an improved orientation smoothing method is proposed based on adaptive neighborhood. It shows better performance in filtering noise while maintaining the orientation localization than the conventional averaging method. The reference-point localization is based on multiscale analysis of the orientation consistency to search the local minimum. The unique reference orientation is computed based on the analysis of the orientation differences between the radial directions fromthe reference point, which are the directions of the radii emitted from the reference point with equivalent angle interval, and the local ridge orientations along these radii. Experimental results demonstrate that our proposed algorithm can consistently locate a unique reference point and compute the reference orientation with high accuracy for all types of fingerprints.