java中使用tesseract-ocr3.01的步骤如下：
1.下载安装tesseract-ocr-setup-3.01-1.exe（3.0以上版本才增加了中文识别）
2.在安装向导中可以选择需要下载的语言包。
3.到网上搜索下载java图形处理所需的2个包：jai_imageio-1.1-alpha.jar，swingx-1.6.1.jar
4.java程序清单：
文字识别私有化部署方案
可部署至「本地服务器」的文字识别服务，支持主流 CPU/GPU 环境及国产化系统部署，通用场景、卡证、票据、iOCR 等各类 OCR 模型及自定义平台均可提供容器化部署包，在专有网络环境下一键部署应用，保障数据私密性。同时，可提供通用型一体机或国产化一体机，软硬一体交付，开箱即用，统一维保
快捷部署
容器化打包，支持本地物理机、私有云等多种部署方式，提供一键部署工具和常用运维工具，快速接入、高效运维
数据安全
专有网络环境下本地化部署，数据无需公网上传，实现业务网络公私分离，保障企业核心生产数据的私密性要求
适配广泛
CPU 及 GPU 环境均可部署，主流 GPU 显卡类型均已适配，并可支持国产化系统部署
授权灵活
根据QPS和使用期限进行授权，可自由选择不同QPS配置，灵活适应不同场景、不同业务的并发量需求
成为开发者
三步完成账号的基本注册与认证：
STEP1：点击百度AI开放平台导航右侧的控制台，选择需要使用的AI服务项。若为未登录状态，将跳转至登录界面，请您使用百度账号登录。如还未持有百度账户，可以点击此处注册百度账户。
STEP2：首次使用，登录后将会进入开发者认证页面，请填写相关信息完成开发者认证。注：(如您之前已经是百度云用户或百度开发者中心用户，此步可略过)。
STEP3：通过控制台左侧导航，选择产品服务-人工智能，进入具体AI服务项的控制面板（如文字识别、人脸识别），进行相关业务操作。
希望能帮到你，谢谢！
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。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 softwareyou can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundationeither 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 WARRANTYwithout 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 programif not, write to the Free Software
* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
*/
package cn.edu.ynu.sei.recognition.utilimport java.awt.Imageimport java.awt.image.BufferedImageimport java.io.Fileimport java.io.IOExceptionimport java.util.ArrayListimport java.util.Listimport java.util.logging.Levelimport java.util.logging.Loggerimport 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 softwareyou can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundationeither 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 WARRANTYwithout 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 programif not, write to the Free Software
* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
*/
package cn.edu.ynu.sei.recognition.utilimport java.awt.Imageimport java.awt.image.PixelGrabberimport java.util.logging.Levelimport 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 <code>image<.>* @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：
http://blog.csdn.net/chief1985/article/details/2229572
比如云脉OCR文档识别API接口，开发支持Java、C++、C、 object pascal及objective-C等多种语言，用户在云脉OCR SDK开发者平台上注册并登录即可自主调用..
