甜橘子，专注成都网站制作网站设计与营销型网站建设与优化
QQ :532337155
电话：028-86922220
摘要图像识别是目前很热门的研究领域，涉及的知识很广，包括信息论、模式识别、模糊数学、图像编码、内容分类等等。本文仅对使用Java实现了一个简单的图像文本二值处理，关于识别并未实现。
十载的昌图网站建设经验，针对设计、前端、开发、售后、文案、推广等六对一服务，响应快，48小时及时工作处理。营销型网站建设的优势是能够根据用户设备显示端的尺寸不同，自动调整昌图建站的显示方式，使网站能够适用不同显示终端，在浏览器中调整网站的宽度，无论在任何一种浏览器上浏览网站，都能展现优雅布局与设计，从而大程度地提升浏览体验。成都创新互联从事“昌图网站设计”,“昌图网站推广”以来，每个客户项目都认真落实执行。
步骤
建立文本字符模板二值矩阵
对测试字符进行二值矩阵化处理
代码
/*
* @(#)StdModelRepository.java
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Library General Public License for more details.
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
*/
package cn.edu.ynu.sei.recognition.util;import java.awt.Image;import java.awt.image.BufferedImage;import java.io.File;import java.io.IOException;import java.util.ArrayList;import java.util.List;import java.util.logging.Level;import java.util.logging.Logger;import javax.imageio.ImageIO;/** * Hold character charImgs as standard model repository.
* @author 88250
* @version 1.0.0.0, Mar 20, 2008
*/
public class StdModelRepository {
/** * hold character images
*/ List charImgs = new ArrayList();
/** * default width of a character
*/ static int width = 16 /** * default height of a character
*/ static int height = 28 /** * standard character model matrix
*/ public int[][][] stdCharMatrix = new int[27][width][height];
/** * Default constructor.
*/ public StdModelRepository() {
BufferedImage lowercase = null try {
lowercase = ImageIO.read(new File("lowercase.png"));
} catch (IOException ex) {
Logger.getLogger(StdModelRepository.class.getName()).
log(Level.SEVERE, null, ex);
}
for (int i = 0 i 26 i++) {
charImgs.add(lowercase.getSubimage(i * width,
0,
width,
height));
}
for (int i = 0 i charImgs.size(); i++) {
Image image = charImgs.get(i);
int[] pixels = ImageUtils.getPixels(image,
image.getWidth(null),
image.getHeight(null));
stdCharMatrix[i] = ImageUtils.getSymbolMatrix(pixels, 0).clone();
ImageUtils.displayMatrix(stdCharMatrix[i]);
}
}
}
/*
* @(#)ImageUtils.java
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Library General Public License for more details.
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
*/
package cn.edu.ynu.sei.recognition.util;import java.awt.Image;import java.awt.image.PixelGrabber;import java.util.logging.Level;import java.util.logging.Logger;/** * Mainipulation of image data.
* @author 88250
* @version 1.0.0.3, Mar 20, 2008
*/
public class ImageUtils {
/** * Return all of the pixel values of sepecified codeimage .* @param image the sepecified image
* @param width width of the image
* @param height height of the image
* @return */ public static int[] getPixels(Image image, int width, int height) {
int[] pixels = new int[width * height];
try {
new PixelGrabber(image, 0, 0, width, height, pixels, 0, width).grabPixels();
} catch (InterruptedException ex) {
Logger.getLogger(ImageUtils.class.getName()).
log(Level.SEVERE, null, ex);
}
return pixels;
}
资源来自：
package com.he;
import javax.servlet.*;
import javax.servlet.http.*;
import java.io.*;
import java.util.*;
import java.awt.*;
import java.awt.image.*;
import javax.imageio.*;
public class CodeFact
extends HttpServlet {
public void doGet(HttpServletRequest request, HttpServletResponse response) throws
ServletException, IOException {
//设置页面不缓存
response.setHeader("Pragma", "No-cache");
response.setHeader("Cache-Control", "no-cache");
response.setDateHeader("Expires", 0);
// 在内存中创建图象
int width = 60, height = 20;
BufferedImage image = new BufferedImage(width, height,
BufferedImage.TYPE_INT_RGB);
// 获取图形上下文
Graphics g = image.getGraphics();
//生成随机类
Random random = new Random();
// 设定背景色
g.setColor(getRandColor(200, 250));
g.fillRect(0, 0, width, height);
//设定字体
g.setFont(new Font("Times New Roman", Font.PLAIN, 18));
//画边框
g.setColor(new Color(33,66,99));
g.drawRect(0,0,width-1,height-1);
// 随机产生155条干扰线，使图象中的认证码不易被其它程序探测到
g.setColor(getRandColor(160, 200));
for (int i = 0; i 155; i++) {
int x = random.nextInt(width);
int y = random.nextInt(height);
int xl = random.nextInt(12);
int yl = random.nextInt(12);
g.drawLine(x, y, x + xl, y + yl);
}
// 取随机产生的认证码(4位数字)
String sRand = "";
for (int i = 0; i 4; i++) {
String rand = String.valueOf(random.nextInt(10));
sRand += rand;
// 将认证码显示到图象中
g.setColor(new Color(20 + random.nextInt(110), 20 + random.nextInt(110),
20 + random.nextInt(110))); //调用函数出来的颜色相同，可能是因为种子太接近，所以只能直接生成
g.drawString(rand, 13 * i + 6, 16);
}
// 将认证码存入SESSION
HttpSession session = request.getSession();
session.setAttribute("rand", sRand);
// 图象生效
g.dispose();
// 输出图象到页面
ImageIO.write(image, "JPEG", response.getOutputStream());
}
public void doPost(HttpServletRequest request, HttpServletResponse response) throws
ServletException, IOException {
doGet(request, response);
}
//给定范围获得随机颜色
private Color getRandColor(int fc, int bc) {
Random random = new Random();
if (fc 255) {
fc = 255;
}
if (bc 255) {
bc = 255;
}
int r = fc + random.nextInt(bc - fc);
int g = fc + random.nextInt(bc - fc);
int b = fc + random.nextInt(bc - fc);
return new Color(r, g, b);
}
}
你试试！！
云脉OCR SDK开发者平台上有提供名片识别API接口，支持Java、C++、C、object pascal及objective-C等多种语言，识别速度快，平均识别时间少于0.6秒，识别率高，字符识别率97.37%，用户登录后即可自主下载接口.....
import ja.io.*;
//获取文件夹内容
public class getthing
{
public static void main(String[] args) throws Exception
{
System.out.println(welstr);
listFile(new File("e:\\aa")); //想要搜索的路径
}
public static void listFile(File file) throws Exception
{
if(file.isFile())
{
//输出的是完整的文件夹内文件的路径
System.out.println("File :"+file.getAbsolutePath());
//01.jpg就是你要找的图片
if (file.getAbsolutePath().endsWith("01.jpg"))
System.out.println("有搜索的图片");
}
else
{
System.out.println("Dir :"+file.getAbsolutePath());
File[] files =file.listFiles();
for(int i=0;ifiles.length;i++)
{
listFile(files[i]);
System.out.println("回车");
}
}
}
}
1 首先确定你要搜索的目录
2 要搜索的关键字 如“花”
3 只搜索图片类型 .jpg .gif .png .bmp之类的
4 在文本框里获得搜索的关键字
5 取得要搜索目录下的所有图片类型的名字
6 用关键字和取得的文件名一一进行对比
7 若有关键字 记录该图片的名字
8 若都没关键字 表示无该名字的图片
9 空白区域你可以用一个窗体来表示
10 把搜索到的图片都显示在这个窗体。
//byte数组到图片到硬盘上
public void byte2image(byte[] data,String path){
if(data.length3||path.equals("")) return;//判断输入的byte是否为空
try{
FileImageOutputStream imageOutput = new FileImageOutputStream(new File(path));//打开输入流
imageOutput.write(data, 0, data.length);//将byte写入硬盘
imageOutput.close();
System.out.println("Make Picture success,Please find image in " + path);
} catch(Exception ex) {
System.out.println("Exception: " + ex);
ex.printStackTrace();
}
}