阿里云人脸对比API使用

 本demo两个类

package com.ailiyun.face;


import javax.crypto.Mac;
import javax.crypto.spec.SecretKeySpec;

import sun.misc.BASE64Encoder;

import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLConnection;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.Locale;
 
//@SuppressWarnings("restriction")
public class FaceDemoVerify {
    
private static final String ak_id = "LTAI4FsFovihVGbkSBt3XZMA";

private static final String ak_secret = "qkHdFOcpxDshdgOAarDwmpESFDbo2H";

private static final String url = "https://dtplus-cn-shanghai.data.aliyuncs.com/face/verify";

/*
 * 计算MD5+BASE64
 */
public static String MD5Base64(String s) {
	if (s == null)
		return null;
	String encodeStr = "";
	byte[] utfBytes = s.getBytes();
	MessageDigest mdTemp;
	try {
		mdTemp = MessageDigest.getInstance("MD5");
		mdTemp.update(utfBytes);
		byte[] md5Bytes = mdTemp.digest();
		BASE64Encoder b64Encoder = new BASE64Encoder();
		encodeStr = b64Encoder.encode(md5Bytes);
	} catch (Exception e) {
		throw new Error("Failed to generate MD5 : " + e.getMessage());
	}
	return encodeStr;

    }


/*
 * 计算 HMAC-SHA1
 */
public static String HMACSha1(String data, String key) {
	String result;
	try {
		SecretKeySpec signingKey = new SecretKeySpec(key.getBytes(), "HmacSHA1");
		Mac mac = Mac.getInstance("HmacSHA1");
		mac.init(signingKey);
		byte[] rawHmac = mac.doFinal(data.getBytes());
		result = (new BASE64Encoder()).encode(rawHmac);
	} catch (Exception e) {
		throw new Error("Failed to generate HMAC : " + e.getMessage());
	}
	return result;
}

/*
 * 等同于javaScript中的 new Date().toUTCString();
 */
public static String toGMTString(Date date) {
	SimpleDateFormat df = new SimpleDateFormat("E, dd MMM yyyy HH:mm:ss z", Locale.UK);
	df.setTimeZone(new java.util.SimpleTimeZone(0, "GMT"));
	return df.format(date);
}

/*
 * 发送POST请求
 */
 //如果发送的是转换为base64编码后后面加请求参数type为1，如果请求的是图片的url则不用加type参数。
public static String sendPost(String body) throws Exception {
//	String body = "{\"content_1\": \"" + content_1 + "\", \"content_2\":\"" + content_2 + "\", \"type\":\"" + "1" + "\"}";
	PrintWriter out = null;
	BufferedReader in = null;
	String result = "";
	int statusCode = 200;
	try {
		URL realUrl = new URL(url);
		/*
		 * http header 参数
		 */
		String method = "POST";
		// 返回值类型
		String accept = "application/json";
		// 请求内容类型
		String content_type = "application/json";
		String path = realUrl.getFile();
		// GMT时间
		String date = toGMTString(new Date());
		// 1.对body做MD5+BASE64加密
		String bodyMd5 = MD5Base64(body);
		String stringToSign = method + "\n" + accept + "\n" + bodyMd5+ "\n" + content_type + "\n" + date + "\n"
				+ path;
		// 2.计算 HMAC-SHA1
		String signature = HMACSha1(stringToSign, ak_secret);
		// 3.得到 authorization header
		String authHeader = "Dataplus " + ak_id + ":" + signature;
		// 打开和URL之间的连接
		URLConnection conn = realUrl.openConnection();
		// 设置通用的请求属性
		conn.setRequestProperty("Accept", accept);
		conn.setRequestProperty("Content-type", content_type);
		conn.setRequestProperty("Date", date);
		// 认证信息
		conn.setRequestProperty("Authorization", authHeader);
		// 发送POST请求必须设置如下两行
		conn.setDoOutput(true);
		conn.setDoInput(true);
		// 获取URLConnection对象对应的输出流
		out = new PrintWriter(conn.getOutputStream());
		// 发送请求参数
		out.print(body);
		// flush输出流的缓冲
		out.flush();
		// 定义BufferedReader输入流来读取URL的响应
		statusCode = ((HttpURLConnection) conn).getResponseCode();
		if (statusCode != 200) {
			in = new BufferedReader(new InputStreamReader(((HttpURLConnection) conn).getErrorStream()));
		} else {
			in = new BufferedReader(new InputStreamReader(conn.getInputStream()));
		}
		String line;
		while ((line = in.readLine()) != null) {
			result += line;
		}
	} catch (Exception e) {
		e.printStackTrace();
	} finally {
		try {
			if (out != null) {
				out.close();
			}
			if (in != null) {
				in.close();
			}
		} catch (IOException ex) {
			ex.printStackTrace();
		}
	}
	if (statusCode != 200) {
		throw new IOException("\nHttp StatusCode: " + statusCode + "\nErrorMessage: " + result);
	}
	return result;
}

public static String encodeImageToBase64(File file) throws Exception {
    //将图片文件转化为字节数组字符串，并对其进行Base64编码处理
//    loggerger.info("图片的路径为:" + file.getAbsolutePath());
    InputStream in = null;
    byte[] data = null;
    //读取图片字节数组
    try {
        in = new FileInputStream(file);
        data = new byte[in.available()];
        in.read(data);
        in.close();
    } catch (IOException e) {
        e.printStackTrace();
        throw new Exception("图片上传失败,请联系客服!");
    }
    //对字节数组Base64编码
    BASE64Encoder encoder = new BASE64Encoder();
    String base64 = encoder.encode(data);
    return base64;//返回Base64编码过的字节数组字符串
}

public static void main(String[] args) throws Exception {

	String url ="C:\\Users\\dell\\Desktop\\证件\\2.jpg";
	String url1 ="C:\\Users\\dell\\Desktop\\证件\\3.jpg";
	//图片压缩
	ImgCompress.demo(url);
	ImgCompress.demo(url1);
	
    File picBase641 = new File(url1);
    File picBase64 = new File(url);
    String pic = encodeImageToBase64(picBase64);
    String pic1 = encodeImageToBase64(picBase641);
    //提出base64编码的换行符问题
    String data  = pic.replaceAll("[\\s*\t\n\r]", "");
    String data2 = pic1.replaceAll("[\\s*\t\n\r]", "");
    data = "'" + data + "'";
    data2 = "'" + data2 + "'";
    String body = "{\"type\":1,\n" +
            "\"content_1\":"+data+",\n" +
            "\"content_2\":"+data2+"\n" +
            "}";
	String response = sendPost(body);
	System.out.println(response.toString());
}
}

阿里云接口限制了传输数据的大小，所以高清图片需要压缩成缩率图进行上传

压缩图片代码 

package com.ailiyun.face;

import java.io.*;  
import java.awt.*;  
import java.awt.image.*;  
import javax.imageio.ImageIO;  
import com.sun.image.codec.jpeg.*;  
/** 
 * 图片压缩处理 
 * @author Felix
 */  
public class ImgCompress {  
    private Image img;  
    private int width;  
    private int height;  
    private static String url;
//    @SuppressWarnings("deprecation")  
//    public static void main(String[] args) throws Exception {  
//        System.out.println("开始：" + new Date().toLocaleString());  
//        ImgCompress imgCom = new ImgCompress("C:\\Users\\dell\\Desktop\\证件\\my.jpg");  
//        imgCom.resizeFix(400, 400);  
//        System.out.println("结束：" + new Date().toLocaleString());  
//    }  
    public static void demo(String u) throws IOException {
    	url=u;
    	ImgCompress imgCom = new ImgCompress(u);
    	imgCom.resizeFix(400, 400);  
    }
    /** 
     * 构造函数 
     */  
    public ImgCompress(String fileName) throws IOException {  
        File file = new File(fileName);// 读入文件  
        img = ImageIO.read(file);      // 构造Image对象  
        width = img.getWidth(null);    // 得到源图宽  
        height = img.getHeight(null);  // 得到源图长  
    }  
    /** 
     * 按照宽度还是高度进行压缩 
     * @param w int 最大宽度 
     * @param h int 最大高度 
     */  
    public void resizeFix(int w, int h) throws IOException {  
        if (width / height > w / h) {  
            resizeByWidth(w);  
        } else {  
            resizeByHeight(h);  
        }  
    }  
    /** 
     * 以宽度为基准，等比例放缩图片 
     * @param w int 新宽度 
     */  
    public void resizeByWidth(int w) throws IOException {  
        int h = (int) (height * w / width);  
        resize(w, h);  
    }  
    /** 
     * 以高度为基准，等比例缩放图片 
     * @param h int 新高度 
     */  
    public void resizeByHeight(int h) throws IOException {  
        int w = (int) (width * h / height);  
        resize(w, h);  
    }  
    /** 
     * 强制压缩/放大图片到固定的大小 
     * @param w int 新宽度 
     * @param h int 新高度 
     */  
    public void resize(int w, int h) throws IOException {  
        // SCALE_SMOOTH 的缩略算法 生成缩略图片的平滑度的 优先级比速度高 生成的图片质量比较好 但速度慢  
        BufferedImage image = new BufferedImage(w, h,BufferedImage.TYPE_INT_RGB );   
        image.getGraphics().drawImage(img, 0, 0, w, h, null); // 绘制缩小后的图  
        File destFile = new File(url);  
        FileOutputStream out = new FileOutputStream(destFile); // 输出到文件流  	
        // 可以正常实现bmp、png、gif转jpg  
        JPEGImageEncoder encoder = JPEGCodec.createJPEGEncoder(out);  
        encoder.encode(image); // JPEG编码  
        out.close();  
    }  
}  

 

API整体的校验规则 

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