【正文】 Blo。D = D3。,2)。,15,39。,39。 elseif M(i,j) == 3 plot(j,len+1i,39。LineWidth39。MarkerSize39。k39。,2)。,10,39。,39。for i = 1:len for j = 1:wid if M(i,j) == 1 plot(j,len+1i,39。 end end endendfigure。 (delta *pi) M(i,j) = 2。 if (sqrt((ia)^2+(jb)^2) D1) amp。 theta2 = (FP_Orientation(I,J)1)*pi*。 end I = floor((i1)/W)+1。 if T = 0 theta1 = atan(T)。 else flag = 0。 b = b1。 elseif (N(a,b1) == 2) || (N(a,b1) == 1) N(a,b) = 0。 b = b1。 elseif (N(a+1,b1) == 2) || (N(a+1,b1) == 1) N(a,b) = 0。 b = b。 elseif (N(a+1,b) == 2) || (N(a+1,b) == 1) N(a,b) = 0。 b = b+1。 elseif (N(a+1,b+1) == 2) || (N(a+1,b+1) == 1) N(a,b) = 0。 b = b+1。 elseif (N(a,b+1) == 2) || (N(a,b+1) == 1) N(a,b) = 0。 b = b+1。 elseif (N(a1,b+1) == 2) || (N(a1,b+1) == 1) N(a,b) = 0。 b = b。 elseif (N(a1,b) == 2) || (N(a1,b) == 1) N(a,b) = 0。 b = b1。 while(flag) if (N(a1,b1) == 2) || (N(a1,b1) == 1) N(a,b) = 0。 N = FP_FeaturePointsMatrix。for i = 1:len for j = 1:wid if M(i,j) == 1 a = i。D3 = 5。 end endend D1 = 5。LineWidth39。MarkerSize39。bx39。,2)。,10,39。,39。 elseif M(i,j) == 2 plot(j,len+1i,39。LineWidth39。MarkerSize39。ro39。hold on。 end endendfor i = 1:len for j = widB+1:wid if M(i,j) == 1 || M(i,j) == 3 M(i,j) = 2。 end endendfor i = lenB+1:len for j = 1:wid if M(i,j) == 1 || M(i,j) == 3 M(i,j) = 2。 B = 20。 end endend附錄C 剔除偽特征點(diǎn)仿真程序function FP_DelFeaturePointsMatrix = DelFeaturePoints(FP_FeaturePointsMatrix,FP_Orientation,W)[len,wid] = size(FP_FeaturePointsMatrix)。LineWidth39。MarkerSize39。bx39。,2)。,10,39。,39。 elseif FP_FeaturePointsMatrix(i,j) == 2 plot(j,len+1i,39。LineWidth39。MarkerSize39。ro39。hold on。 % points on line else FP_FeaturePointsMatrix(i,j) = 2。amp。 Sn(i,j) == 1 FP_FeaturePointsMatrix(i,j) = 1。 end endend for i = 1:len for j = 1:wid if Z(i,j) == 1 if Cn(i,j) == 2 amp。 for m = 1:8 Cn(i,j) = Cn(i,j)+abs(P(m+1)P(m))。 P(8) = Z(i,j1)。 P(6) = Z(i+1,j)。 P(4) = Z(i,j+1)。 P(2) = Z(i1,j)。 P = zeros(1,9)。Cn = zeros(len,wid)。[len,wid] = size(FP_Thining)。FP_DelFeaturePointsMatrix = DelFeaturePoints(FP_FeaturePointsMatrix,FP_Orientation,W)。imshow(FP_Thined)。 figure。 FP_Binarized = Binarized(FP_Enhancement,W)。imshow(FP_Enhancement)。)。,39。imshow(FP_OrientationMap,39。FP_OrientationMap = DrawOrientationMap(FP_Orientation)。 W = 10。figure。Var0 = 100。imshow(FP)。FP = FP(51:250,51:250)。39。close all。參考文獻(xiàn)[1]戴平陽. 指紋識別技術(shù)研究進(jìn)展[J]. 廈門大學(xué)學(xué)報(bào)(自然科學(xué)版), 2002,41(8):750755.[2] 邊肇棋等編著. 模式識別. 北京:清華大學(xué)出版社, 1990,2027.[3] 田捷,楊鑫. 生物特征識別技術(shù)理論與應(yīng)用. , 2006,126129.[4] Henry Fuzee, Fingerprint recognition in low quality images. Pattern Recognition,1993, 26(10):14411460.[5]O’Gorman, Nickerson. An Approach to Fingerprint Filter Design [J] .Pattern Recognition, 1989,22(l):2938.[6] Hong L, Wan Y, Jain A K. Fingerprint image enhancement: algorithm and performance evaluation [J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 1998, 20(8):777789.[7]Sherlock, Monro, Millard. Fingerprint Enhancement by Directional Fourier Filtering, IEEE ProceedingsVision, Image and Signal Processing, 1994, 141(2):8789.[8]葉四民,[J].,2:3034.[9] Amengnal J C, Juan A, Perez J C, et al. Realtime minutiae extraction in fingerprint images[A]. the 6th Int. Conf:On Image proceeding and Applications (IPA97) [EB/OL]. [10][J].中國圖像圖形學(xué)報(bào), 2006,15(6): 855860[11] Lhin R T, Wan HK, Stover D L, et al. A onepass thinning algorithm and its parallelimplementation[J].Computer Vision Graphics Image Processing,1987,40(1):3040.[12] 劉懷泉,.[13]].天津:天津大學(xué), 2007,6.[14][J].光電工程, ,36(4):140142.[15], . The FBI’s approach to automatic fingerprint identification (PartP).FBI Law Enforcement Bulletin, USA. Government Publication,1975,44(1).[16]魏鴻磊,歐宗瑛,[J].計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)報(bào),18(6):832837.[17] Dario Maio. Direct Gray Scale Minutiae Detection in Fingerprints[J]. IEEE Trans onPattern Analysis and Machine Intelligence, 1997, (19)1:2740[18] Jiang, and . Detecting fingerprint minutiae adaptive tracing the gray level ridge. Pattern Recognition, 2001, 34(11):9991013[19]楊小青,楊浩,[J].西南大學(xué)學(xué)報(bào), 2007, 29(11):148152.[20]馮國進(jìn),顧國華,[J].計(jì)算機(jī)應(yīng)用研究,2004(5): 183185.[21] and Z. AiAutomatic feature extraction and recognition of fingerprint imagel. Proceed of ICSP96, 1996, 10861089.[22]周德龍,趙志國,[J].電子與信息學(xué)報(bào), 2002,24(7): 905909.[23][D].大連:大連理工大學(xué),.[24][D].北京:北京交通大學(xué),2007.[25]吳作好,[J].現(xiàn)代電子技術(shù),2007,(14): 121124.[26]柴曉光,[M].北京:人民郵電出版社,2004.[27][J].中國防偽報(bào)道,3840.[28]田捷,[M].北京:電子工業(yè)出版社,.[29]孟祥萍,武增光,[J].計(jì)算機(jī)工程與設(shè)計(jì),2009, 30 (13):31363138.[30] and A..Rosenfeld. Point Pattern Matching by Relaxation[J]. Pattern , 12(5): 269275.[31]Lin Hong, Jain A K, Bolle Retal PanKanti, Identity authentication using fingerprints In：Proc. of First lnt’1Conference on Audio and VideoBased Biometric Person Authentication, Geneva, Switzerland,1997:103110.[32]Xudong Jiang, Weiyun Yau. Fingerprint Minutiae Matching Based on the Local and Global Structures. IEEE, 2000, 10381041.[33] a