Computer Vision, Graphics, and Image Processing
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
A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint-based Forensics Identify Argentina's Desaparecidos
IEEE Computer Graphics and Applications
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
A New Paradigm on Fingerprint Classification using Directional Image
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
Fingerprint enhancement using STFT analysis
Pattern Recognition
Fingerprint reference-point detection
EURASIP Journal on Applied Signal Processing
A new efficient method of fingerprint image enhancement
International Journal of Biometrics
Active Fingerprint Ridge Orientation Models
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
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This work presents an efficient algorithm to enhance the directional image. Orientation, as a global feature of fingerprint, is very important to image preprocessing methods used in automatic fingerprint identification system (AFIS). Proposed algorithm consists of two weighted averaging stages over a neighborhood. In the first stage the 2D gaussian kernel is used as a weight and in the second stage the differentiation mask is used. That strategy allows an effective smoothing of the orientation in the noisy areas, without information loss in the high curvatured ridges areas. Experimental results show that the proposed method improves the performance of the fingerprint identification, comparing to the results obtained by the conventional, gradient based method.