人脸识别java,人脸识别java连接数据库

发布时间：2022-12-02

本文目录一览：

  1. 使用百度Ai进行人脸身份识别(公安验证)
  2. 用OpenCV开发人脸识别软件，用Java好还是用C/C++好
  3. 如何开发Java动态人脸识别
  4. 人脸识别系统使用java的开发
  5. java 人脸识别sdk推荐个好用的？
  6. java怎么实现人脸识别？

使用百度Ai进行人脸身份识别(公安验证)

import com.baidu.aip.util.Base64Util;
import com.enation.app.base.core.service.Exception.CreditAuthFaceException;
import com.enation.app.base.core.service.ICreditAuthManager;
import com.enation.app.base.core.util.AuthTokenService;
import com.enation.app.base.core.util.HttpClientUtils;
import org.apache.http.client.methods.CloseableHttpResponse;
import java.io.*;
import javax.imageio.stream.FileImageInputStream;
import java.net.HttpURLConnection;
import java.net.URLEncoder;
import java.util.HashMap;
import java.util.Map;
/**
 * 人脸识别service
 * @param name
 * @param id_card
 * @param faceUrl
 */
@Override
public void face(String name, String id_card, String faceUrl) {
    //调用接口获取tocken(有效期一个月)
    String token = AuthTokenService.getAuth();
    System.out.println("1:token:" + token);
    //调用身份验证api地址
    String url = "" + token;
    File face = new File(faceUrl);
    FileImageInputStream input = null;
    byte[] data = null;
    String base64Image = null;
    try {
        input = new FileImageInputStream(face);
        ByteArrayOutputStream output = new ByteArrayOutputStream();
        byte[] buf = new byte[1024];
        int numBytesRead = 0;
        while ((numBytesRead = input.read(buf)) != -1) {
            output.write(buf, 0, numBytesRead);
        }
        data = output.toByteArray();
        base64Image = Base64Util.encode(data);
        System.out.println("4base64转码:" + base64Image);
    } catch (IOException e) {
        e.printStackTrace();
    } finally {
        try {
            if (input != null) {
                input.close();
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    Map headers = new HashMap();
    headers.put("Content-Type", "application/x-www-form-urlencoded");
    Map bodys = new HashMap();
    bodys.put("image", base64Image);
    bodys.put("id_card_number", id_card);
    bodys.put("name", name);
    try {
        CloseableHttpResponse response = HttpClientUtils.doHttpsPost(url, headers, bodys);
        String result = HttpClientUtils.toString(response);
        System.out.println("5返回json数据:" + result);
        org.json.JSONObject jsonObject = new org.json.JSONObject(result);
        System.out.println("jsonObject:" + jsonObject);
        Object jsonResult = jsonObject.get("result");
        Float floatResult = Float.parseFloat(jsonResult.toString());
        if (floatResult == 0.80) {
            System.out.println("floatResult:" + floatResult + "人脸身份验证成功");
        } else {
            System.out.println("floatResult:" + floatResult + "人脸身份验证失败");
            throw new CreditAuthFaceException("人脸身份验证失败");
        }
    } catch (Exception e) {
        e.printStackTrace();
        System.out.println("异常输出");
        throw new CreditAuthFaceException("人脸认证失败");
    }
}

用OpenCV开发人脸识别软件，用Java好还是用C/C++好

我去年就用opencv开发的android手机端的关于人脸识别的增强现实应用。我可以很明确的告诉你，java的opencv顶多调用摄像头用，图像处理都用c的opencv。对于opencv的开发，不管从开发效率还是执行效率，绝对是c。java版的opencv想都不要想。

如何开发Java动态人脸识别

  1. 环境搭建 整个项目的结构图
  2. 编写DetectFaceDemo.java,代码如下：
package com.njupt.zhb.test;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;
/*
 * Detects faces in an image, draws boxes around them, and writes the results
 * to "faceDetection.png".
 */
public class DetectFaceDemo {
    public void run() {
        System.out.println("\nRunning DetectFaceDemo");
        System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath());
        // CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath());
        // Mat image = Highgui.imread(getClass().getResource("lena.png").getPath());
        // 注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误
        /*
         * Detected 0 faces Writing faceDetection.png libpng warning: Image
         * width is zero in IHDR libpng warning: Image height is zero in IHDR
         * libpng error: Invalid IHDR data
         */
        // 因此，我们将第一个字符去掉
        String xmlfilePath = getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1);
        CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);
        Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1));
        // Detect faces in the image.
        // MatOfRect is a special container class for Rect.
        MatOfRect faceDetections = new MatOfRect();
        faceDetector.detectMultiScale(image, faceDetections);
        System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
        // Draw a bounding box around each face.
        for (Rect rect : faceDetections.toArray()) {
            Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
        }
        // Save the visualized detection.
        String filename = "faceDetection.png";
        System.out.println(String.format("Writing %s", filename));
        Highgui.imwrite(filename, image);
    }
}
  1. 编写测试类：
package com.njupt.zhb.test;
public class TestMain {
    public static void main(String[] args) {
        System.out.println("Hello, OpenCV");
        // Load the native library.
        System.loadLibrary("opencv_java246");
        new DetectFaceDemo().run();
    }
}

//运行结果: //Hello, OpenCV // //Running DetectFaceDemo ///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml //Detected 8 faces //Writing faceDetection.png

人脸识别系统使用java的开发

现在主流的还是用的百度，千搜等公司的在线API，就是传图片过去，等接收结果就行，seetaface这个东西太复杂了。

java 人脸识别sdk推荐个好用的？

推荐虹软的，他们的是免费下载的，支持Java，也支持多种平台的开发，接入也比较简单，重点是功能还比较强大。

java怎么实现人脸识别？

应该可以通过java调用别人的人脸识别的接口,主要是利用图像处理的技术,识别关键点

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