基于小波與神經(jīng)網(wǎng)絡(luò)掌紋識(shí)別研究.pdf

1、貴州大學(xué)2010屆碩士研究生學(xué)位論文基于小波與神經(jīng)網(wǎng)絡(luò)掌紋識(shí)別研究學(xué)科專(zhuān)業(yè)：通信與信息系統(tǒng)研究方向：信息網(wǎng)絡(luò)與信息系統(tǒng)導(dǎo)師：王力教授研究生：周作梅中國(guó)﹒﹒﹒﹒貴州﹒﹒﹒﹒貴陽(yáng)2010年5月密級(jí)：公開(kāi)分類(lèi)號(hào)：TP391.41論文編號(hào)：2010081I目錄摘要............................................................................................

2、...................................................................IIIAbstract..............................................................................................................................................

3、...........IV第1章緒論...................................................................................................................................................11.1研究背景及意義............................................

4、..................................................................................11.2掌紋識(shí)別的優(yōu)勢(shì)及其算法研究現(xiàn)狀...............................................................................................11.2.1掌紋識(shí)別的優(yōu)勢(shì)...........

5、........................................................................................................21.2.2掌紋識(shí)別算法的研究現(xiàn)狀...................................................................................................

6、.21.3主要內(nèi)容、特點(diǎn)及結(jié)構(gòu)安排...........................................................................................................4第2章小波變換基本理論....................................................................................

7、.......................................62.1小波變換的幾種形式......................................................................................................................62.1.1連續(xù)小波變換......................................

8、.................................................................................62.1.2離散小波變換.......................................................................................................................62.1.3二進(jìn)

9、小波變換.......................................................................................................................72.2多分辨率分析與Mallat算法..............................................................................

10、............................72.2.1多分辨率分析........................................................................................................................72.2.2Mallat算法..............................................

11、...............................................................................82.3二維小波變換與圖像小波變換.....................................................................................................102.3.1二維小波變換..........

12、...........................................................................................................102.3.2圖像小波變換....................................................................................................

13、..................112.4本章小結(jié)........................................................................................................................................12第3章神經(jīng)網(wǎng)絡(luò)基本理論............................................

14、.............................................................................133.1神經(jīng)網(wǎng)絡(luò)簡(jiǎn)介................................................................................................................................133.

15、1.1人工神經(jīng)元.........................................................................................................................133.1.2神經(jīng)網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)...........................................................................

16、...............................153.1.3神經(jīng)網(wǎng)絡(luò)的學(xué)習(xí)規(guī)則..........................................................................................................153.1.4神經(jīng)網(wǎng)絡(luò)模式識(shí)別的特點(diǎn).................................................

17、.................................................163.2BP神經(jīng)網(wǎng)絡(luò)...................................................................................................................................173.2.1BP算法..................

18、..............................................................................................................173.2.2BP神經(jīng)網(wǎng)絡(luò)工作過(guò)程.............................................................................................

19、............213.2.3BP神經(jīng)網(wǎng)絡(luò)的應(yīng)用.............................................................................................................213.3本章小結(jié)..........................................................................

20、..............................................................21第4章基于數(shù)學(xué)形態(tài)學(xué)的掌紋ROI提取方法及仿真.............................................................................234.1掌紋圖像的采集............................................

21、................................................................................234.2定位方法的確定............................................................................................................................234.

22、3掌紋圖像的平滑濾波及仿真分析.................................................................................................244.3.1平滑濾波相關(guān)算法.............................................................................................