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Code for CROHME 2019
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‎.gitignore

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/nbproject/
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/target/

‎README.md

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# Offline handwritten mathematical expression regnition via stroke extraction
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The repository provide a proof-of-concept stroke extractor that can extract strokes from clean
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bitmap images. The stroke extractor can be used to recognize offline handwritten
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mathematical expression if a online recognizer is given. For example, when combined
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with MyScript, the resulting offline recognition system was **ranked #3 in the offline
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task in CROHME 2019.**
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## Accuracy
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Dataset|Correct|Up to 1 error|Up to 2 errors|Structural correct
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---|---|---|---|---
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CROHME 2014|58.22%|71.60%|75.15%|77.38%
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CROHME 2016|65.65%|77.68%|82.56%|85.00%
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CROHME 2019|65.05%|||
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Although good accuracy is achieved on datasets from CROHME, the program
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may produce poor results on real world images. For example, the procedure do not
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work well on the following images:
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- Image containing other objects. An image should contains exactly one formula and nothing else.
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Ordinary text and grid lines are not allowed.
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- Image with low contrast. The strokes may not be distinguished from background properly.
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- Image with low resolution. The stroke extractor may not segment touching symbols correctly.
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- Printed mathematical expressions. Serifs can distract the stroke extractor.
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## Usage
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In order to use the MyScript Cloud recognition engine, you need to [create a account](https://sso.myscript.com/register)
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and create an application.
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### Graphical interface
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1. Run the JAR by double click or command like `java -jar mathocr-myscript.jar`
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2. Choose `Image file` from the menu `Recognize`
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3. Choose the image file
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4. Click the button `Recognize` under stroke preview
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### API
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First add the jar file to classpath. If you are using Maven, add the following
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to you `pom.xml`:
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```xml
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<dependency>
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<groupId>com.github.chungkwong</groupId>
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<artifactId>mathocr-myscript</artifactId>
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<version>1.0</version>
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</dependency>
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```
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Then you can recognize images of mathematical expression by using code like:
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```java
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String applicationKey="your application key for MyScript";
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String hmacKey="hmac key of your Myscript account";
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String grammarId="an uploaded grammar of your Myscript account";
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int dpi=96;
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MyscriptRecognizer myscriptRecognizer=new MyscriptRecognizer(applicationKey,hmacKey,grammarId,dpi);
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Extractor extractor=new Extractor(myscriptRecognizer);
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File file=new File("Path to file to be recognized");
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EncodedExpression expression=extractor.recognize(ImageIO.read(file));
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String latexCode=expression.getCodes(new LatexFormat());
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```
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# 基于笔划提取的脱机手写数学公式识别
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本项目提供一个可从清晰的图片中还原笔划信息的程序原型。与联机手写数学公式识别结合的话，
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可以打造出脱机数学公式识别系统。例如与MyScript结合时 **在CROHME 2019的脱机任务中位列第3名**。
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## 准确度
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数据集|正确|至多一处错误|至多两处错误|结构正确
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---|---|---|---|---
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CROHME 2014|58.22%|71.60%|75.15%|77.38%
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CROHME 2016|65.65%|77.68%|82.56%|85.00%
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CROHME 2019|65.05%|||
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虽然在CROHME数据集上取得了良好的表现，本程序对现实世界中的图片表现仍然可能未如理想。
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例如对以下类型的图片可能给出差劲的结果：
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- 含有其它对象的图片。图片中只应含有一条公式而没有其它东西，不能有普通文本或网格之类。
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- 低对比度图片。这时笔划难以从背景区分出来。
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- 低清晰度图片。这时粘连在一起的符号难以分割。
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- 印刷体数学公式。衬线会干扰笔划提取。
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## 用法
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如果使用MyScript Cloud作为联机手写数学公式识别器，请[注册一个帐号](https://sso.myscript.com/register)并创建一个应用。
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### 图形用户界面
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1. 通过双击或命令如`java -jar mathocr-myscript.jar`运行JAR文件
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2. 在菜单`识别`中选择`图片文件`
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3. 选择图像文件
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4. 点击笔划预览下的`识别`按钮（首次使用时需要输入你的MyScript Cloud应用标识和密钥）
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### API
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首先把JAR文件加到类路径。如果你使用Maven，把以下依赖加到`pom.xml`中`dependencies`下即可（其它构建系统类似）：
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```xml
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<dependency>
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<groupId>com.github.chungkwong</groupId>
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<artifactId>mathocr-myscript</artifactId>
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<version>1.0</version>
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</dependency>
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```
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然后你可以使用以下样子的代码识别脱机手写数学公式:
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```java
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String applicationKey="your application key for MyScript";
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String hmacKey="hmac key of your Myscript account";
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String grammarId="an uploaded grammar of your Myscript account";
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int dpi=96;
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MyscriptRecognizer myscriptRecognizer=new MyscriptRecognizer(applicationKey,hmacKey,grammarId,dpi);
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Extractor extractor=new Extractor(myscriptRecognizer);
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File file=new File("Path to file to be recognized");
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EncodedExpression expression=extractor.recognize(ImageIO.read(file));
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String latexCode=expression.getCodes(new LatexFormat());
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```

‎pom.xml

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<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<groupId>com.github.chungkwong</groupId>
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<artifactId>mathocr-myscript</artifactId>
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<version>1.0</version>
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<packaging>jar</packaging>
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<properties>
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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<maven.compiler.source>1.8</maven.compiler.source>
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<maven.compiler.target>1.8</maven.compiler.target>
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<maven.test.skip>true</maven.test.skip>
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</properties>
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<dependencies>
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<dependency>
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<groupId>com.github.jai-imageio</groupId>
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<artifactId>jai-imageio-core</artifactId>
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<version>1.4.0</version>
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</dependency>
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<dependency>
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<groupId>com.fasterxml.jackson.core</groupId>
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<artifactId>jackson-databind</artifactId>
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<version>2.9.8</version>
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</dependency>
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<dependency>
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<groupId>junit</groupId>
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<artifactId>junit</artifactId>
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<version>4.12</version>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.hamcrest</groupId>
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<artifactId>hamcrest-core</artifactId>
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<version>1.3</version>
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<scope>test</scope>
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</dependency>
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</dependencies>
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<build>
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<plugins>
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<plugin>
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<!-- Build an executable JAR -->
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-jar-plugin</artifactId>
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<configuration>
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<archive>
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<manifest>
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<mainClass>cc.chungkwong.mathocr.ui.Main</mainClass>
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</manifest>
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</archive>
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</configuration>
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</plugin>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-source-plugin</artifactId>
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<executions>
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<execution>
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<id>attach-sources</id>
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<goals>
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<goal>jar</goal>
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</goals>
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</execution>
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</executions>
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</plugin>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-javadoc-plugin</artifactId>
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<executions>
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<execution>
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<id>attach-javadoc</id>
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<goals>
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<goal>jar</goal>
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</goals>
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</execution>
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</executions>
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</plugin>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-gpg-plugin</artifactId>
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<executions>
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<execution>
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<id>sign-artifacts</id>
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<phase>verify</phase>
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<goals>
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<goal>sign</goal>
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</goals>
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</execution>
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</executions>
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</plugin>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-shade-plugin</artifactId>
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<version>3.1.1</version>
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<executions>
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<execution>
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<phase>package</phase>
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<goals>
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<goal>shade</goal>
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</goals>
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</execution>
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</executions>
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</plugin>
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</plugins>
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<testResources>
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<testResource>
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<directory>${project.basedir}/src/test/resources</directory>
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</testResource>
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</testResources>
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</build>
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<name>MathOCR(MyScript based)</name>
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<description>Offline handwritten mathematical expression recognition via stroke extraction</description>
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<url>https://github.com/chungkwong/mathocr-myscript</url>
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<inceptionYear>2019</inceptionYear>
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<licenses>
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<license>
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<name>GNU Affero General Public License, Version 3</name>
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<url>https://www.gnu.org/licenses/agpl-3.0.txt</url>
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<distribution>repo</distribution>
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</license>
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</licenses>
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<developers>
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<developer>
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<id>chungkwong</id>
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<name>陈颂光</name>
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<email>chan@chungkwong.cc</email>
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<url>https://www.chungkwong.cc</url>
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<timezone>+8</timezone>
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<organization>Sun Yat-sen University</organization>
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<organizationUrl>http://www.sysu.edu.cn</organizationUrl>
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</developer>
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</developers>
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<scm>
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<url>https://github.com/chungkwong/mathocr-myscript</url>
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<tag>HEAD</tag>
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<connection>scm:git:https://github.com/chungkwong/mathocr-myscript.git</connection>
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</scm>
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<issueManagement>
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<system>GitHub</system>
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<url>https://github.com/chungkwong/mathocr-myscript/issues</url>
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</issueManagement>
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<distributionManagement>
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<snapshotRepository>
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<id>nexus-snapshots</id>
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<name>Nexus Snapshot Repo</name>
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<url>https://oss.sonatype.org/content/repositories/snapshots</url>
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</snapshotRepository>
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<repository>
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<id>nexus-releases</id>
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<name>Nexus Staging Repo</name>
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<url>https://oss.sonatype.org/service/local/staging/deploy/maven2</url>
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</repository>
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</distributionManagement>
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</project>

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