遇到一道機試題

當時就懵逼了0.0查了好多資料，大體知道了基本的步驟：1.預處理 2.灰度化 3.二值化 4.去噪 5.分割 6.識別

還好題目要求不嚴格，可以使用開源程式。機智的我還真找到一個：Tesseract

下面開始正文：

Tess4J官方描述：A Java JNA wrapper for Tesseract OCR API.

2.將下載的檔案解壓後把下面幾個資料夾（圖片中選中的）複製到新建的專案中

3.將lib下的jar包加到build path 中。注意：lib裡面除了jar包還有別的。

4.根據官網的樣例在剛建的專案中使用一下：

The following code example shows common usage of the library. Make sure 

package net.sourceforge.tess4j.example;

import java.io.File;
import net.sourceforge.tess4j.*;

public class TesseractExample {

    public static void main(String[] args) {
        File imageFile = new File("eurotext.tif");
        ITesseract instance = new Tesseract();  // JNA Interface Mapping
        // ITesseract instance = new Tesseract1(); // JNA Direct Mapping

        try {
            String result = instance.doOCR(imageFile);
            System.out.println(result);
        } catch (TesseractException e) {
            System.err.println(e.getMessage());
        }
    }
}
 

package blog.csdn.net.dr_guo;

import java.io.File;

import net.sourceforge.tess4j.ITesseract;
import net.sourceforge.tess4j.Tesseract;
import net.sourceforge.tess4j.TesseractException;
/**
 * 驗證碼識別（圖片名即為驗證碼數字）
 * @author drguo
 *
 */
public class VCR {
	public static void main(String[] args) {
		File root = new File(System.getProperty("user.dir") + "/imgs");
		ITesseract instance = new Tesseract();

		try {
			File[] files = root.listFiles();
			for (File file : files) {
				String result = instance.doOCR(file);
				String fileName = file.toString().substring(file.toString().lastIndexOf("\\")+1);
				System.out.println("圖片名：" + fileName +" 識別結果："+result);
			}
		} catch (TesseractException e) {
			System.err.println(e.getMessage());
		}
    }
}
 

Exception in thread "main" java.lang.UnsatisfiedLinkError: Unable to load library 'libtesseract304': Native library (win32-x86-64/libtesseract304.dll) not found in resource path ([file:/G:/Eclipse/Demo/bin/, file:/G:/Eclipse/Demo/lib/commons-beanutils-1.9.2.jar, file:/G:/Eclipse/Demo/lib/commons-io-2.4.jar, file:/G:/Eclipse/Demo/lib/commons-logging-1.2.jar, file:/G:/Eclipse/Demo/lib/ghost4j-1.0.1.jar, file:/G:/Eclipse/Demo/lib/hamcrest-core-1.3.jar, file:/G:/Eclipse/Demo/lib/itext-2.1.7.jar, file:/G:/Eclipse/Demo/lib/jai-imageio-core-1.3.1.jar, file:/G:/Eclipse/Demo/lib/jna-4.2.2.jar, file:/G:/Eclipse/Demo/lib/jul-to-slf4j-1.7.19.jar, file:/G:/Eclipse/Demo/lib/junit-4.12.jar, file:/G:/Eclipse/Demo/lib/lept4j-1.1.2.jar, file:/G:/Eclipse/Demo/lib/log4j-1.2.17.jar, file:/G:/Eclipse/Demo/lib/logback-classic-1.1.6.jar, file:/G:/Eclipse/Demo/lib/logback-core-1.1.6.jar, file:/G:/Eclipse/Demo/lib/rococoa-core-0.5.jar, file:/G:/Eclipse/Demo/lib/slf4j-api-1.7.19.jar, file:/G:/Eclipse/Demo/lib/xmlgraphics-commons-1.5.jar])

準確率還是挺高的。

注意我的jdk版本是jdk1.8.0_74，如果你的版本低於我的版本可能會報錯~