研究论文-基于脉冲耦合神经网络的指纹识别方法

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研究论文-基于脉冲耦合神经网络的指纹识别方法
23 g(k) 10 PCNN 6 360×364 M atlabz. o 1 2 DFT 5×4×12/2=120 5×10 (a)指纹1 (b)指纹1的点火序列图 10 ((5×10) 1224 ×10/2)=250 1.20 (C)指纹2 1.218 100 (d指纹2的点火序列图 50×49/2 DE 1225 RdM/=∑g/ics(2mhiN), k=01…,N2 (7) InX /h/ Loli sin( 2hiA) h=Q1…,Nn2 8 g(k) dFt, 2)PCNN DFI DFT /% /% 13 Q067 Q08 Q9388 (MLP) 3结束语 DFT ((7)ReY), 109 20 [101 BP 2仿真实验结果分析 PCNN 01994-2013ChinaAfYc200OumalElectronicpuBlishingHouse.Allrightsreservedhttp7/www.cnki.net 24 35 199910(3):539544 6 200424(1):66-69 : 2005 [7] S H W S The scientst and eng s gu ie to d ig ita l [2]ECKHORN R, RE IBOECK H I ARNDT M, et al A neural ignal processing[M]. Sann Diego. California Technical netwo rks fr feature link ng v i synchonous ac tiv ity: resu Its Publish ing 1997. frm cat visual cortex and sm ulations[c].//In Model of 8 Brain Funct ion Cam brge uk, 1989 2000 [3 JOHNSON JL Pu lse-coup led neural nets trans lation re [9]RU SSELL S J NORVG P. Artificial nte lligence a m odh- tation sca le d itortin and intens ity signal ivar iance for m- em approach[m]. Uppe r Saddle r iver Prentice-H all esJ. A pp lier0prs,199433(26):62396253 1995 「41 J 10 MATLAB 7 200215(3):189194 M」. 2005 [5]LNDBLAD T, KNSER JM. Image pocess ing using pu lse- coup ed neral networks[ J]. EEE T rans on N eural Net (上接第15页) 4 DSR AODV ,AODⅤ DSR DSDV DSDV DSDV DSR AODV DSR AODV DSR AODV 1] Adh AODV DSR ,2005 DSR [2] JOHN SON DB. DAV D A Dynan ic source routing n Ad H oc w ire kss netwok[m ] Dordrech K hwer A cad em i Publishers 1996 DSR AOdV [3]RFC2 501 M ob ile Ad Hoc network ing (MANET): rou ting o Io b ol perform an ce issues and evalua tion consideratons [4 University of Southern C al ifom a Us ng us EB/OL]. ht tpr//www.sielu/nsnun/ns2007-09-06 AODV DSDV [5]CHUNG J CLAY POOL ns by ex am plel eb ol]. ht tpr //nie wpi edu/NS/, 2007-09-06 4结束语 NS [JI Adhoc ,2002(9):75-78 7] 2[M] ,2006 o1994-2013ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net

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