Fingerprint pattern classification
Pattern Recognition
Segmentation of fingerprint images using the directional image
Pattern Recognition
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
Synthetic Fingerprint-Database Generation
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Image filter design for fingerprint enhancement
ISCV '95 Proceedings of the International Symposium on Computer Vision
Fingerprint matching based on global alignment of multiple reference minutiae
Pattern Recognition
Quality estimation of fingerprint image based on neural network
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection
IEEE Transactions on Image Processing
Hi-index | 0.01 |
Ridge orientation is one of the fundamental features of a fingerprint image. Orientation estimation serves for feature extraction and matching and is the base of fingerprint recognition. Most existing orientation estimation methods are based on the characteristic of pixel intensity in a block. This paper uses neural network to learn the ridge orientation. The trained network has the property of responding to true ridge orientation with a large value and responding to the false ridge orientation with a small value. When estimating fingerprint ridge orientation, the responded values to each orientation at each image block are used to compute the fingerprint orientation field. The proposed method turns out more robust than the existing method.