Scale and the differential structure of images
Image and Vision Computing - Special issue: information processing in medical imaging 1991
Edge Detection and Ridge Detection with Automatic Scale Selection
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Machine Vision and Applications
Systems and Computers in Japan
Combination of Gabor wavelets and circular Gabor filter for finger-vein extraction
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Personal identification based on finger-vein features
Computers in Human Behavior
Finger-Vein recognition based on a bank of gabor filters
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Feature extraction from vein images using spatial information and chain codes
Information Security Tech. Report
Finger-vein ROI localization and vein ridge enhancement
Pattern Recognition Letters
Vein pattern extraction based on vectorgrams of maximal intra-neighbor difference
Pattern Recognition Letters
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In this paper an efficient fully automatic method for finger vein pattern extraction is presented using the second order local structure of infrared images. In a sequence of processes, the veins structure is normalized and enhanced, eliminating also the fingerprint lines using wavelet decomposition methods. A compound filter which handles the second order local structure and exploits the multidirectional matching filter response in the direction of the smallest curvature is used in order to enrich the vein patterns. Edge suppression decreases the misclassified edges as veins in the forthcoming crisp clustering step. In a postprocessing module, a morphological majority filter is applied in the segmented image to smooth the contours and to remove some small isolated regions and a reconstruction process reduces the outliers in the finger vein pattern. The proposed method was evaluated in a small database of infrared images giving excellent detection accuracy of vein patterns.