Image restoration and enhancement for finger-vein recognition

Finger-vein recognition has been a hot topic in biometrics community. However, finger-vein images are always poor in quality. This is very unhelpful for finger-vein feature analysis in practice. Considering the light propagation behavior in biological tissue and the variations of veins in orientation and diameter, in this paper, we propose an effective finger-vein image enhancement method based on scattering removal and a bank of even Gabor filters. The experimental results show that the proposed method has a good performance in venous region enhancement and can improve the finger-vein recognition accuracy significantly.

[1]  Tai Sing Lee,et al.  Image Representation Using 2D Gabor Wavelets , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Jinfeng Yang,et al.  Finger-Vein Recognition Based on a Bank of Gabor Filters , 2009, ACCV.

[3]  Xu Li,et al.  Efficient Finger Vein Localization and Recognition , 2010, 2010 20th International Conference on Pattern Recognition.

[4]  Wei Pi,et al.  An effective quality improvement approach for low quality finger vein image , 2010, 2010 International Conference on Electronics and Information Engineering.

[5]  Joni-Kristian Kämäräinen,et al.  Invariance properties of Gabor filter-based features-overview and applications , 2006, IEEE Transactions on Image Processing.

[6]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Jinfeng Yang,et al.  Scattering Removal for Finger-Vein Image Enhancement , 2011, 2011 International Conference on Hand-Based Biometrics.

[8]  Hany Farid,et al.  Blind inverse gamma correction , 2001, IEEE Trans. Image Process..

[9]  Jinfeng Yang,et al.  Combination of Gabor Wavelets and Circular Gabor Filter for Finger-Vein Extraction , 2009, ICIC.

[10]  A. Welch,et al.  A review of the optical properties of biological tissues , 1990 .

[11]  R. Frühwirth,et al.  Mixture models of multiple scattering: computation and simulation , 2001 .

[12]  A. G. Gaydon,et al.  Spectrochemical Analysis , 1951, Nature.

[13]  Yilong Yin,et al.  Finger vein recognition with manifold learning , 2010, J. Netw. Comput. Appl..

[14]  Jinfeng Yang,et al.  Multi-Channel Gabor Filter Design for Finger-Vein Image Enhancement , 2009, 2009 Fifth International Conference on Image and Graphics.

[15]  Koichi Shimizu,et al.  Improvement of transcutaneous fluorescent images with a depth-dependent point-spread function. , 2005, Applied optics.

[16]  Robby T. Tan,et al.  Visibility in bad weather from a single image , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[17]  Tianzi Jiang,et al.  A modified Gabor filter design method for fingerprint image enhancement , 2003, Pattern Recognit. Lett..

[18]  Hee Chan Kim,et al.  A finger-vein verification system using mean curvature , 2011, Pattern Recognit. Lett..

[19]  Renbiao Wu,et al.  Reducing Illumination Based on Nonlinear Gamma Correction , 2007, 2007 IEEE International Conference on Image Processing.

[20]  Shahrel Azmin Suandi,et al.  Finger Vein Recognition Using Local Line Binary Pattern , 2011, Sensors.

[21]  Wen-Rong Wu,et al.  Image Contrast Enhancement Based on a Histogram Transformation of Local Standard Deviation , 1998, IEEE Trans. Medical Imaging.

[22]  Mongi A. Abidi,et al.  Gray-level grouping (GLG): an automatic method for optimized image contrast Enhancement-part I: the basic method , 2006, IEEE Transactions on Image Processing.

[23]  V. Fleury,et al.  The Textural Aspects of Vessel Formation during Embryo Development and Their Relation to Gastrulation Movements , 2007, Organogenesis.

[24]  Xie Shu-sen,et al.  The Optical Model of Human Skin , 2005 .

[25]  David Zhang,et al.  Ensemble of local and global information for finger-knuckle-print recognition , 2011, Pattern Recognit..

[26]  Jian-Da Wu,et al.  Driver identification using finger-vein patterns with Radon transform and neural network , 2009, Expert Syst. Appl..

[27]  D. Delpy,et al.  Quantification in tissue near–infrared spectroscopy , 1997 .

[28]  LeeTai Sing.  Image Representation Using 2D Gabor Wavelets , 1996 .

[29]  Nicolai Petkov,et al.  Contour detection based on nonclassical receptive field inhibition , 2003, IEEE Trans. Image Process..

[30]  Yao Zhao,et al.  Scale multiplication in odd Gabor transform domain for edge detection , 2007, J. Vis. Commun. Image Represent..

[31]  V. Zharov,et al.  Infrared imaging of subcutaneous veins , 2004, Lasers in surgery and medicine.

[32]  D. Guidolin,et al.  Order and disorder in the vascular network , 2004, Leukemia.

[33]  Sun Yat,et al.  Optical Characteristics of Human Veins Tissue in Kubelka-Munk Model at He-Ne Laser in Vitro , 2002 .

[34]  Jinfeng Yang,et al.  Finger-vein ROI localization and vein ridge enhancement , 2012, Pattern Recognit. Lett..

[35]  D. G. Albrecht,et al.  Spatial frequency selectivity of cells in macaque visual cortex , 1982, Vision Research.

[36]  Hee Chan Kim,et al.  Finger vein extraction using gradient normalization and principal curvature , 2009, Electronic Imaging.

[37]  Wu Jiajie.  The research of finger-vein image enhancement algorithm , 2010 .

[38]  T. Higuchi,et al.  A Fingerprint Matching Algorithm Using Phase-Only Correlation(Digital Signal Processing for Pattern Recognition)( Applications and Implementations of Digital Signal Processing) , 2004 .

[39]  Gongping Yang,et al.  Finger Vein Recognition Based on a Personalized Best Bit Map , 2012, Sensors.

[40]  Ben Zhang,et al.  Scattering Removal for Finger-Vein Image Restoration , 2012, Sensors.

[41]  Ajay Kumar,et al.  Human Identification Using Finger Images , 2012, IEEE Transactions on Image Processing.

[42]  Zhao Yan-xiang.  Study on Enhanced Algorithm of Hand Vein Image Based on CLAHE and Top-hat transform , 2009 .

[43]  J. Nelson,et al.  Orientation-selective inhibition from beyond the classic visual receptive field , 1978, Brain Research.

[44]  Nieuwenhuizen,et al.  Probability distribution of multiple scattered light measured in total transmission. , 1994, Physical review letters.

[45]  Xu Zhang,et al.  Feature-level fusion of fingerprint and finger-vein for personal identification , 2012, Pattern Recognit. Lett..

[46]  Paras N. Prasad,et al.  Bioimaging: Principles and Techniques , 2004 .

[47]  Shin-ichiro Umemura,et al.  Near-infrared finger vein patterns for personal identification. , 2002, Applied optics.

[48]  Kang Ryoung Park,et al.  Image restoration of skin scattering and optical blurring for finger vein recognition , 2011 .

[49]  Jinsung Oh,et al.  Feature enhancement of medical images using morphology-based homomorphic filter and differential evolution algorithm , 2010 .

[50]  Tom Lister,et al.  Optical properties of human skin , 2012, Journal of biomedical optics.

[51]  Liang Xue-zhang.  Image Enhancement of Finger-vein Patterns Based on Wavelet Denoising and Histogram Template Equalization , 2008 .

[52]  A. Lagendijk,et al.  Optical anisotropic diffusion: new model systems and theoretical modeling. , 2009, Journal of biomedical optics.

[53]  Jinfeng Yang,et al.  Personal identification based on finger-vein features , 2011, Comput. Hum. Behav..

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

[55]  J. Daugman.  Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[56]  Guido Gerig,et al.  Nonlinear anisotropic filtering of MRI data , 1992, IEEE Trans. Medical Imaging.

[57]  D. Hubel,et al.  Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.

[58]  Hema Ramachandran,et al.  IMAGING THROUGH TURBID MEDIA , 1999 .

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

[60]  Naoto Miura,et al.  Extraction of Finger-Vein Patterns Using Maximum Curvature Points in Image Profiles , 2007, MVA.

[61]  Hiroshi Nakajima,et al.  An Effective Approach for Iris Recognition Using Phase-Based Image Matching , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[62]  Kang Ryoung Park,et al.  Restoration method of skin scattering blurred vein image for finger vein recognition , 2009 .

[63]  Hiroshi Nakajima,et al.  A Palmprint Recognition Algorithm Using Phase-Only Correlation , 2008, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[64]  H.J.C.M. Sterenborg,et al.  Skin optics , 1989, IEEE Transactions on Biomedical Engineering.

[65]  Xinyan Xiong,et al.  A novel adaptive vein image contrast enhancement method based on fuzzy and retinex theory , 2010, The 2010 IEEE International Conference on Information and Automation.

[66]  Atam P Dhawan,et al.  Optical Imaging Modalities for Biomedical Applications , 2010, IEEE Reviews in Biomedical Engineering.

[67]  Bakhtiar Affendi Rosdi,et al.  Finger Vein Recognition Algorithm Using Phase Only Correlation , 2010, 2010 International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics.

[68]  Gladimir V. G. Baranoski,et al.  An Introduction to Light Interaction with Human Skin , 2004, RITA.

[69]  Tae-Seong Kim,et al.  Vessel enhancement filter using directional filter bank , 2009, Comput. Vis. Image Underst..

[70]  Jinfeng Yang,et al.  Finger-vein segmentation based on multi-channel even-symmetric Gabor filters , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[71]  Jinfeng Yang,et al.  Finger-Vein Image Restoration Considering Skin Layer Structure , 2011, 2011 International Conference on Hand-Based Biometrics.

[72]  A. N. Bashkatov,et al.  Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm , 2005 .

[73]  Jinfeng Yang,et al.  An improved method for finger-vein image enhancement , 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

[74]  Eui Chul Lee,et al.  New Finger Biometric Method Using Near Infrared Imaging , 2011, Sensors.

[75]  Liu Di,et al.  Two modality-based bi-finger vein verification system , 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

[76]  J. Uhl,et al.  Embryology and three-dimensional anatomy of the superficial venous system of the lower limbs , 2007, Phlebology.

[77]  Jean-Philippe Tarel,et al.  Fast visibility restoration from a single color or gray level image , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[78]  Jing Zhang,et al.  Finger-Vein Image Enhancement Based on Combination of Gray-Level Grouping and Circular Gabor Filter , 2009, 2009 International Conference on Information Engineering and Computer Science.

[79]  Shree K. Nayar,et al.  Contrast Restoration of Weather Degraded Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..