Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Digital Image Processing
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Muliscale Vessel Enhancement Filtering
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Fingerprint image enhancement based on second directional derivative of the digital image
EURASIP Journal on Applied Signal Processing
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Directional filter bank-based fingerprint feature extraction and matching
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper we proposed a new enhancement technique that is based on the integration of Decimation Free Directional responses of the Decimation Free Directional Filter Banks (DDFB), adaptive mean filtering and the eigen decomposition of the Hessian matrix. By decomposing the input fingerprint image into decimation free directional images, it is easy to remove the noise directionally by means of adaptive mean filtering and further eigen decomposition of the Hessian matrix was used for the segmentation purpose. As the input fingerprint image is not uniformly illuminated so we have used the bandpass filter for the elimination of non-uniform illumination and for the creation of frequency ridge image before giving it to DDFB. The final enhanced result is constructed on a block-by-block basis by comparing energy of all the directional images and picking one that provides maximum energy.