Abstract A near infrared dorsal hand vein image segmentation algorithm is proposed based on function optimization about entropy and gradient in local regions of interest. The noise is removed by applying compressed sensing theory in vein image firstly. Then, the Bandelet transform is used to extract the regions of interest including vein information, and the established function about entropy and gradient is constrained and optimized in these regions so that the vein information and the background can be separated. Finally, the segmentation results in all the regions of interest are fused, and the whole vein image segmentation process is accomplished. The experimental results show that the proposed algorithm makes the acquired segmentation image reserve better vein features than other segmentation algorithms. In addition, the proposed algorithm has good reference value in the segmentation of finger vein and palm vein images with texture features.
JIA Xu,CUI Jian-Jiang,XUE Ding-Yu等. Vein Image Segmentation Algorithm Based on Function Optimization in Regions of Interest[J]. , 2012, 25(3): 475-480.
[1] Wang Jiangang,Yan Weiyun,Suwandy A,et al.Person Recognition by Fusing Palmprint and Palm Vein Images Based on “Laplacianpalm” Representation.Pattern Recognition,2008,41(5): 1514-1527 [2] Wang Kejun,Zhang Yan,Yuan Zhi,et al.Hand Vein Recognition Based on Multi Supplemental Features of Multi-Classifier Fusion Decision // Proc of the IEEE International Conference on Mechatronics and Automation.Luoyang,China,2006: 1790-1795 [3] Akhloufi M,Bendada A.Hand and Wrist Physiological Features Extraction for Near Infrared Biometrics // Proc of the 5th Canadian Conference on Computer and Robot Vision.Windsor,Canada,2008: 341-344 [4] Villasenor-Mora C,Sanchez-Marin F J,Garay-Sevilla M E.Contrast Enhancement of Mid and Far Infrared Images of Subcutaneous Veins.Infrared Physics and Technology,2008,51(3): 221-228 [5] Kumar A,Prathyusha K V.Personal Authentication Using Hand Vein Triangulation and Knuckle Shape.IEEE Trans on Image Processing,2009,18(9): 2127-2136 [6] Lee E C,Park K R.Restoration Method of Skin Scattering Blurred Vein Image for Finger Vein Recognition.Electronics Letters,2009,45(21): 1074-1076 [7] Wang Kejun,Yuan Zhi.Finger Vein Recognition Based on Wavelet Moment Fused with PCA Transform.Pattern Recognition and Artificial Intelligence,2007,20(5): 692-698 (in Chinese) (王科俊,袁 智.基于小波矩融合PCA变换的手指静脉识别.模式识别与人工智能,2007,20(5): 692-698) [8] Cui Jianjiang,Wang Lihui,Chen Dali,et al.On the Vein Image Capturing System Based on Near-Infrared Image Quality Assessment.Journal of Northeastern University: Natural Science,2009,30(8): 1099-1102 (in Chinese) (崔建江,王立辉,陈大力,等.基于近红外图像质量评价的静脉图像采集系统.东北大学学报:自然科学版,2009,30(8): 1099-1102 ) [9] Zhang Yibo,Li Qin,You J,et al.Palm Vein Extraction and Matching for Personal Authentication // Proc of the 9th International Conference on Advances in Visual Information Systems.Shanghai,China,2007: 154-164 [10] Figueiredo M A T,Nowak R D,Wright S J.Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems.IEEE Journal of Selected Topics in Signal Processing,2007,1(4): 586-597 [11] Le P E,Mallat S.Sparse Geometric Image Representations with Bandelets.IEEE Trans on Image Processing,2005,14(4): 423-438 [12] Jiao Licheng,Hou Biao,Wang Shuan,et al.Image Multiscale Geometric Analysis: Theory and Applications.Xian,China: Xi-dian University Press,2008: 397-413 (in Chinese) (焦李成,侯 彪,王 爽,等.图像多尺度几何分析理论与应用.西安: 西安电子科技大学出版社,2008: 397-413) [13] Cui Jianjiang,Jia Xu,Liu Jing,et al.Vein Image Feature Extraction Based on Box Counting Dimension and Multiple Wavelets.Journal of Northeastern University: Natural Science,2010,31(10): 1397-1400 (in Chinese) (崔建江,贾 旭,刘 晶,等.基于计盒维数和多小波的静脉图像特征提取.东北大学学报:自然科学版,2010,31(10): 1397-1400)
2012, Vol. 25 
