Vein Segmentation in Infrared Images Using Compound Enhancing and Crisp Clustering

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.

[1]  T. Tanaka,et al.  Biometric authentication by hand vein patterns , 2004, SICE 2004 Annual Conference.

[2]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[3]  J. Koenderink The structure of images , 2004, Biological Cybernetics.

[4]  Kejun Wang,et al.  A study of hand vein recognition method , 2005, IEEE International Conference Mechatronics and Automation, 2005.

[5]  Rafael C. González,et al.  Digital image processing using MATLAB , 2006 .

[6]  Naoto Miura,et al.  Feature Extraction of Finger-vein Patterns Based on Repeated Line Tracking and Its Application to Personal Identification , 2022 .

[7]  Alejandro F. Frangi,et al.  Muliscale Vessel Enhancement Filtering , 1998, MICCAI.

[8]  Tony Lindeberg Edge Detection and Ridge Detection with Automatic Scale Selection , 2004, International Journal of Computer Vision.

[9]  Naoto Miura,et al.  Feature extraction of finger vein patterns based on iterative line tracking and its application to personal identification , 2004 .

[10]  Luc Vincent,et al.  Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Soo-Won Kim,et al.  A Direction-Based Vascular Pattern Extraction Algorithm for Hand Vascular Pattern Verification , 2003 .

[12]  Soo-Won Kim,et al.  An biometric identification system by extracting hand vein patterns , 2001 .

[13]  Max A. Viergever,et al.  Scale and the differential structure of images , 1992, Image Vis. Comput..

[14]  Soo-Won Kim,et al.  Improved vein pattern extracting algorithm and its implementation , 2000 .

[15]  Luc Vincent,et al.  Morphological grayscale reconstruction in image analysis: applications and efficient algorithms , 1993, IEEE Trans. Image Process..