计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 283-287.doi: 10.11896/j.issn.1002-137X.2018.08.051
所属专题: 医学图像
贾旭1, 孙福明1, 李豪杰2, 曹玉东1
JIA Xu1, SUN Fu-ming1, LI Hao-jie2, CAO Yu-dong1
摘要: 为使提取的静脉图像特征具有较好的聚类特性以更利于正确识别,提出了一种基于有监督非负矩阵分解的识别算法。首先,对静脉图像进行分块处理,通过融合所有的子图像特征形成静脉的原始特征;其次,采用特征的稀疏性与聚类属性双正则项,对原始的非负矩阵分解模型进行改进;然后,基于梯度下降法对改进的非负矩阵分解模型进行求解,实现对原始特征的降维与优化;最后,利用最近邻算法对新的特征进行匹配,从而获得识别结果。实验结果表明,对于3种静脉样本数据库,所提识别算法的错误接受率与错误拒绝率分别可以达到0.02与0.03;此外,其2.89s的识别时间可以满足实时性要求。
中图分类号:
[1]JIA X,SUN F M,CAO Y D,et al.Dorsal hand vein recognition algorithm based on effective dimensional feature [J].Computer Science,2016,43(1):315-318.(in Chinese)贾旭,孙福明,曹玉东,等.基于有效维度特征的手背静脉识别算法[J].计算机科学,2016,43(1):315-318. [2]WANG K J,YUAN Z.Finger vein recognition based on wavelet moment fused with PCA transform [J].Pattern Recognition & Artificial Intelligence,2007,20(5):692-697.(in Chinese)王科俊,袁智.基于小波矩融合PCA变换的手指静脉识别[J].模式识别与人工智能,2007,20(5):692-697. [3]LI T G,MA S L,ZHANG Z B,et al.Hand vein recognitionmethod based on Bandelet transformation [J].Journal of Jilin University (Science Edition),2007,45(6):975-978.(in Chinese)李铁钢,马驷良,张忠波,等.基于Bandelet变换的手背静脉识别算法[J].吉林大学学报(理学版),2007,45(6):975-978. [4]HAN W Y,LEE J C.Palm vein recognition using adaptive Gabor filter [J].Expert Systems with Applications,2012,39(18):13225-13234. [5]HSU C B,LEE J C,HAO S S,et al.Dorsal hand vein recognition using Gabor feature-based 2-directional principal component analysis[J].Advanced Science Letters,2012,8(1):813-817. [6]WANG R,WANG G Y,CHEN Z,et al.A palm vein identification system based on Gabor wavelet features [J].Neural Computing and Applications,2014,24(1):161-168. [7]ALI M A J,BU W,WU X Q,et al.Palm vein verification using Gabor Filter [J].International Journal of Computer Science Issues,2013,10(1):678-684. [8]SUN J W,ABDULLA W.Palm vein recognition by combining Curvelet transform and Gabor filter[C]∥Biometric Recognition 8th Chinese Conference.Jinan,China,2013:314-321. [9]JIA X,XUE D Y,CUI J J,et al.Dorsal hand vein recognition algorithm based on Ridgelet transformation of divided blocks [J].Pattern Recognition & Artificial Intelligence,2011,24(3):346-352.(in Chinese)贾旭,薛定宇,崔建江,等.基于分块脊波变换的手背静脉识别算法[J].模式识别与人工智能,2011,24(3):346-352. [10]HSU C B,LEE J C,CHUANG S J,et al.Gaussian directional pattern for dorsal hand vein recognition[J].The Imaging Science Journal,2014,63(1):54-62. [11]LEE J C,LO T M,CHANG C P.Dorsal hand vein recognition based on directional filter bank[J].Signal,Image and Video Processing,2016,10(1):145-152. [12]PREMALATHA K,ANANTHA T,NATARAJAN M.A Dorsal Hand Vein Recognition based on Local Gabor Phase Quantization with Whitening Transformation[J].Defence Science Journal,2014,64(2):159-167. [13]KUMAR A,PRATHYUSHA K V.Personal authenticationusing hand vein triangulation and knuckle shape[J].IEEE Transactions on Image Processing,2009,9(18):2127-2136. [14]HU Y P,WANG Z Y,YANG X P,et al.Hand vein recognition based on the connection lines of reference point and feature point [J].Infrared Physics & Technology,2014,62(1),110-114. [15]WANG Y D,LIAO W P.Hand vein recognition based on feature coding[C]∥Proceedings of the 7th Chinese conference on Biometric Recognition.Guangzhou,China,2012,165-175. [16]HUANG D,TANG Y,WANG Y,et al.Hand-Dorsa Vein Reco-gnition by Matching Local Features of Multisource Keypoints[J].IEEE Transactions on Cybernetics,2015,45(9):1823-1837. [17]HUANG D,ZHU X,WANG Y,et al.Dorsal hand vein recognition via hierarchical combination of texture and shape clues[J].Neurocomputing,2016,214(C):815-828. [18]ANIKA P,DANIEL H,CHRISTOPH B.Feature extractionfrom vein images using spatial information and chain codes[J].Information Security Technical Report,2012,17(1/2):26-35. [19]XI X,YANG L,YIN Y.Learning discriminative binary codes for finger vein recognition[J].Pattern Recognition,2017,66:26-33. [20]LEE D D,SEUNG H S.Learning the parts of objects by non-negative matrix factorization[J].Nature,1999,401(6755):788-791. [21]ZHANG Z,XU Y,YANG J,et al.A Survey of Sparse Representation:Algorithms and Applications [J].IEEE Access,2015,3:490-530. [22]YIN Y L,LIU L L,SUN X W.SDUMLA-HMT:A Multimodal Biometric Database[C]∥Chinese Conference of BiometricRecog-nition.Beijing,China,2011:260-268. |
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