Details

Autor(en) / Beteiligte

• MANHUA LIU
• XUDONG JIANG
• CHICHUNG KOT, Alex

Titel

Fingerprint reference-point detection

Ist Teil von

• EURASIP Journal on Applied Signal Processing, 2005-03, Vol.2005 (4), p.498-509, Article 634350

Ort / Verlag

New York, NY: Hindawi Publishing Corporation

Erscheinungsjahr

2005

Quelle

Springer Nature - Complete Springer Journals

Beschreibungen/Notizen

• 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 from the 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.