JAVA识别图形验证码.doc

最近一直在开发一个用于自动发帖的工具，用HttpClient模拟客户端浏览器注册发帖。但是碰到了图形验证码的问题了，对单数字的验证码，通过一些OCR引擎，如：tesseract，AspriseOCR很容易解决问题。但碰到如CSDN论坛这中图形验证码就比较麻烦，必须先通过预处理。使图象二值化，黑白灰度，增加亮度。我的代码如下：javaview plaincopy1. packagemyfilter;2. importjava.io.*;3. importjava.awt.image.*;4. importjava.awt.geom.AffineTransform;5. importjava.awt.color.ColorSpace;6. importjava.awt.image.ConvolveOp;7. importjava.awt.image.Kernel;8. importjava.awt.image.BufferedImage;9. importjavax.imageio.ImageIO;10. importjava.awt.Toolkit;11. importjava.awt.Image;12. 13. /*14. *Title:ImageFilter15. *16. *Description:imageprocessingbyfilters17. *Copyright:Copyright(c)201018. *19. *20. *sincejdk1.5.021. *version1.022. */23. publicclassMyImgFilter24. BufferedImageimage;25. privateintiw,ih;26. privateintpixels;27. 28. 29. publicMyImgFilter(BufferedImageimage)30. this.image=image;31. iw=image.getWidth();32. ih=image.getHeight();33. pixels=newintiw*ih;34. 35. 36. 37. /*图像二值化*/38. publicBufferedImagechangeGrey()39. 40. 41. PixelGrabberpg=newPixelGrabber(image.getSource(),0,0,iw,ih,pixels,0,iw);42. try43. pg.grabPixels();44. catch(InterruptedExceptione)45. e.printStackTrace();46. 47. /设定二值化的域值，默认值为10048. intgrey=100;49. /对图像进行二值化处理，Alpha值保持不变50. ColorModelcm=ColorModel.getRGBdefault();51. for(inti=0;igrey)55. red=255;56. else57. red=0;58. 59. if(cm.getGreen(pixelsi)grey)60. green=255;61. else62. green=0;63. 64. if(cm.getBlue(pixelsi)grey)65. blue=255;66. else67. blue=0;68. 69. pixelsi=alpha24|red16|green8|blue;/通过移位重新构成某一点像素的RGB值70. 71. /将数组中的象素产生一个图像72. ImagetempImg=Toolkit.getDefaultToolkit().createImage(newMemoryImageSource(iw,ih,pixels,0,iw);73. image=newBufferedImage(tempImg.getWidth(null),tempImg.getHeight(null),BufferedImage.TYPE_INT_BGR);74. image.createGraphics().drawImage(tempImg,0,0,null);75. returnimage;76. 77. 78. 79. /*中值滤波*/80. publicBufferedImagegetMedian()81. PixelGrabberpg=newPixelGrabber(image.getSource(),0,0,iw,ih,82. pixels,83. 0,iw);84. try85. pg.grabPixels();86. catch(InterruptedExceptione)87. e.printStackTrace();88. 89. /对图像进行中值滤波，Alpha值保持不变90. ColorModelcm=ColorModel.getRGBdefault();91. for(inti=1;iih-1;i+)92. for(intj=1;j=red5)104. if(red5=red6)105. red=red5;106. else107. if(red4=red6)108. red=red6;109. else110. red=red4;111. 112. 113. else114. if(red4red6)115. red=red4;116. else117. if(red5red6)118. red=red6;119. else120. red=red5;121. 122. 123. 124. 125. intgreen4=cm.getGreen(pixelsi*iw+j-1);126. intgreen5=cm.getGreen(pixelsi*iw+j);127. intgreen6=cm.getGreen(pixelsi*iw+j+1);128. 129. /水平方向进行中值滤波130. if(green4=green5)131. if(green5=green6)132. green=green5;133. else134. if(green4=green6)135. green=green6;136. else137. green=green4;138. 139. 140. else141. if(green4green6)142. green=green4;143. else144. if(green5green6)145. green=green6;146. else147. green=green5;148. 149. 150. 151. 152. /intblue2=cm.getBlue(pixels(i-1)*iw+j);153. intblue4=cm.getBlue(pixelsi*iw+j-1);154. intblue5=cm.getBlue(pixelsi*iw+j);155. intblue6=cm.getBlue(pixelsi*iw+j+1);156. /intblue8=cm.getBlue(pixels(i+1)*iw+j);157. 158. /水平方向进行中值滤波159. if(blue4=blue5)160. if(blue5=blue6)161. blue=blue5;162. else163. if(blue4=blue6)164. blue=blue6;165. else166. blue=blue4;167. 168. 169. else170. if(blue4blue6)171. blue=blue4;172. else173. if(blue5blue6)174. blue=blue6;175. else176. blue=blue5;177. 178. 179. 180. pixelsi*iw+181. j=alpha24|red16|green8|blue;182. 183. 184. 185. /将数组中的象素产生一个图像186. ImagetempImg=Toolkit.getDefaultToolkit().createImage(newMemoryImageSource(iw,ih,pixels,0,iw);187. image=newBufferedImage(tempImg.getWidth(null),tempImg.getHeight(null),BufferedImage.TYPE_INT_BGR);188. image.createGraphics().drawImage(tempImg,0,0,null);189. returnimage;190. 191. 192. 193. 194. 195. 196. publicBufferedImagegetGrey()197. ColorConvertOpccp=newColorConvertOp(ColorSpace.getInstance(ColorSpace.CS_GRAY),null);198. returnimage=ccp.filter(image,null);199. 200. 201. /Brightenusingalinearformulathatincreasesallcolorvalues202. publicBufferedImagegetBrighten()203. RescaleOprop=newRescaleOp(1.25f,0,null);204. returnimage=rop.filter(image,null);205. 206. /Blurbyconvolvingtheimagewithamatrix207. publicBufferedImagegetBlur()208. floatdata=209. .1111f,.1111f,.1111f,210. .1111f,.1111f,.1111f,211. .1111f,.1111f,.1111f,;212. ConvolveOpcop=newConvolveOp(newKernel(3,3,data);213. returnimage=cop.filter(image,null);214. 215. 216. 217. /Sharpenbyusingadifferentmatrix218. publicBufferedImagegetSharpen()219. floatdata=220. 0.0f,-0.75f,0.0f,221. -0.75f,4.0f,-0.75f,222. 0.0f,-0.75f,0.0f;223. ConvolveOpcop=newConvolveOp(newKernel(3,3,data);224. returnimage=cop.filter(image,null);225. 226. /11)Rotatetheimage180degreesaboutitscenterpoint227. publicBufferedImagegetRotate()228. AffineTransformOpatop=newAffineTransformOp(AffineTransform.getRotateInstance(Math.PI,image.getWidth()/2,image.getHeight()/2),229. AffineTransformOp.TYPE_NEAREST_NEIGHBOR);230. returnimage=atop.filter(image,null);231. 232. 233. 234. publicBufferedImagegetProcessedImg()235. 236. returnimage;237. 238. 239. publicstaticvoidmain(Stringargs)throwsIOException240. FileInputStreamfin=newFileInputStream(args0);241. BufferedImagebi=ImageIO.read(fin);242. MyImgFilterflt=newMyImgFilter(bi);243. flt.changeGrey();244. flt.getGrey();245. flt.getBrighten();246. bi=flt.getProcessedImg();