﻿<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:trackback="http://madskills.com/public/xml/rss/module/trackback/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/"><channel><title>博客园-First we try, then we trust-文章分类-笔迹鉴别</title><link>http://www.cnblogs.com/zhenyulu/category/47600.html</link><description /><language>zh-cn</language><lastBuildDate>Sat, 17 May 2008 03:26:01 GMT</lastBuildDate><pubDate>Sat, 17 May 2008 03:26:01 GMT</pubDate><ttl>60</ttl><item><title>笔迹鉴别(5) —— 笔迹判别</title><link>http://www.cnblogs.com/zhenyulu/articles/326418.html</link><dc:creator>吕震宇</dc:creator><author>吕震宇</author><pubDate>Tue, 07 Feb 2006 02:56:00 GMT</pubDate><guid>http://www.cnblogs.com/zhenyulu/articles/326418.html</guid><wfw:comment>http://www.cnblogs.com/zhenyulu/comments/326418.html</wfw:comment><comments>http://www.cnblogs.com/zhenyulu/articles/326418.html#Feedback</comments><slash:comments>7</slash:comments><wfw:commentRss>http://www.cnblogs.com/zhenyulu/comments/commentRss/326418.html</wfw:commentRss><trackback:ping>http://www.cnblogs.com/zhenyulu/services/trackbacks/326418.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 一、k-NN法这种概率密度函数估计的方法是这样的：在以特征向量x为中心的一个邻域里，固定落入邻域中的样本的个数k(n)。这可以通过下面的方法实现：在一个合适的距离尺度下，逐渐增大包围x点的区域体积...&nbsp;&nbsp;<a href='http://www.cnblogs.com/zhenyulu/articles/326418.html'>阅读全文</a><img src ="http://www.cnblogs.com/zhenyulu/aggbug/326418.html?type=2" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://zhenyulu.cnblogs.com/" target="_blank">吕震宇</a> 2006-02-07 10:56 <a href="http://www.cnblogs.com/zhenyulu/articles/326418.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>笔迹鉴别(4) —— Gabor变换(2)</title><link>http://www.cnblogs.com/zhenyulu/articles/325968.html</link><dc:creator>吕震宇</dc:creator><author>吕震宇</author><pubDate>Mon, 06 Feb 2006 03:02:00 GMT</pubDate><guid>http://www.cnblogs.com/zhenyulu/articles/325968.html</guid><wfw:comment>http://www.cnblogs.com/zhenyulu/comments/325968.html</wfw:comment><comments>http://www.cnblogs.com/zhenyulu/articles/325968.html#Feedback</comments><slash:comments>18</slash:comments><wfw:commentRss>http://www.cnblogs.com/zhenyulu/comments/commentRss/325968.html</wfw:commentRss><trackback:ping>http://www.cnblogs.com/zhenyulu/services/trackbacks/325968.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 二、Gabor函数Gabor变换属于加窗傅立叶变换，Gabor函数可以在频域不同尺度、不同方向上提取相关的特征。另外Gabor函数与人眼的生物作用相仿，所以经常用作纹理识别上，并取得了较好的效果。...&nbsp;&nbsp;<a href='http://www.cnblogs.com/zhenyulu/articles/325968.html'>阅读全文</a><img src ="http://www.cnblogs.com/zhenyulu/aggbug/325968.html?type=2" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://zhenyulu.cnblogs.com/" target="_blank">吕震宇</a> 2006-02-06 11:02 <a href="http://www.cnblogs.com/zhenyulu/articles/325968.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>笔迹鉴别(3) —— Gabor变换(1)</title><link>http://www.cnblogs.com/zhenyulu/articles/325718.html</link><dc:creator>吕震宇</dc:creator><author>吕震宇</author><pubDate>Sun, 05 Feb 2006 08:46:00 GMT</pubDate><guid>http://www.cnblogs.com/zhenyulu/articles/325718.html</guid><wfw:comment>http://www.cnblogs.com/zhenyulu/comments/325718.html</wfw:comment><comments>http://www.cnblogs.com/zhenyulu/articles/325718.html#Feedback</comments><slash:comments>5</slash:comments><wfw:commentRss>http://www.cnblogs.com/zhenyulu/comments/commentRss/325718.html</wfw:commentRss><trackback:ping>http://www.cnblogs.com/zhenyulu/services/trackbacks/325718.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 一、二维卷积运算Gabor变换的本质实际上还是对二维图像求卷积。因此二维卷积运算的效率就直接决定了Gabor变换的效率。在这里我先说说二维卷积运算以及如何通过二维傅立叶变换提高卷积运算效率。在下一...&nbsp;&nbsp;<a href='http://www.cnblogs.com/zhenyulu/articles/325718.html'>阅读全文</a><img src ="http://www.cnblogs.com/zhenyulu/aggbug/325718.html?type=2" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://zhenyulu.cnblogs.com/" target="_blank">吕震宇</a> 2006-02-05 16:46 <a href="http://www.cnblogs.com/zhenyulu/articles/325718.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>笔迹鉴别(2) —— 纹理制作</title><link>http://www.cnblogs.com/zhenyulu/articles/325556.html</link><dc:creator>吕震宇</dc:creator><author>吕震宇</author><pubDate>Sun, 05 Feb 2006 03:22:00 GMT</pubDate><guid>http://www.cnblogs.com/zhenyulu/articles/325556.html</guid><wfw:comment>http://www.cnblogs.com/zhenyulu/comments/325556.html</wfw:comment><comments>http://www.cnblogs.com/zhenyulu/articles/325556.html#Feedback</comments><slash:comments>6</slash:comments><wfw:commentRss>http://www.cnblogs.com/zhenyulu/comments/commentRss/325556.html</wfw:commentRss><trackback:ping>http://www.cnblogs.com/zhenyulu/services/trackbacks/325556.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 一、文字切割字迹在经过初始处理后，被制作成黑白二值图保存。这个步骤比较简单，可以使用PhotoShop等工具进行处理。剩下的工作就是从字迹中将一个一个的汉字摘出来，用来制作纹理图片。我采用的方法是...&nbsp;&nbsp;<a href='http://www.cnblogs.com/zhenyulu/articles/325556.html'>阅读全文</a><img src ="http://www.cnblogs.com/zhenyulu/aggbug/325556.html?type=2" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://zhenyulu.cnblogs.com/" target="_blank">吕震宇</a> 2006-02-05 11:22 <a href="http://www.cnblogs.com/zhenyulu/articles/325556.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>笔迹鉴别(1) —— 实现步骤概述</title><link>http://www.cnblogs.com/zhenyulu/articles/325030.html</link><dc:creator>吕震宇</dc:creator><author>吕震宇</author><pubDate>Fri, 03 Feb 2006 08:31:00 GMT</pubDate><guid>http://www.cnblogs.com/zhenyulu/articles/325030.html</guid><wfw:comment>http://www.cnblogs.com/zhenyulu/comments/325030.html</wfw:comment><comments>http://www.cnblogs.com/zhenyulu/articles/325030.html#Feedback</comments><slash:comments>27</slash:comments><wfw:commentRss>http://www.cnblogs.com/zhenyulu/comments/commentRss/325030.html</wfw:commentRss><trackback:ping>http://www.cnblogs.com/zhenyulu/services/trackbacks/325030.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 我做的《笔迹鉴别》是与文字无关的笔迹鉴别，简单的说就是你提供给我多个人手写的&#8220;一二三四&#8221;，然后再提供给我其中一个人写的&#8220;五六七八&#8221;，我就可以通过程序判断...&nbsp;&nbsp;<a href='http://www.cnblogs.com/zhenyulu/articles/325030.html'>阅读全文</a><img src ="http://www.cnblogs.com/zhenyulu/aggbug/325030.html?type=2" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://zhenyulu.cnblogs.com/" target="_blank">吕震宇</a> 2006-02-03 16:31 <a href="http://www.cnblogs.com/zhenyulu/articles/325030.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item></channel></rss>