识别图片中是否有logo,实现方案主要有如下4种方案:

目录

1.通过logo库来判断图片中是否有logo库中的logo

2.识别图片中的文字,只要有文字,就假设有logo,再进行二次校验

3.识别图片中的文字,通过logo文字库,来判断是否是logo

4.直接识别logo,但需要通过大量带logo图片进行训练,来实现识别的准确性


1.通过logo库来判断图片中是否有logo库中的logo

百度logo识别接口

接口地址参考:https://cloud.baidu.com/doc/IMAGERECOGNITION/s/Ok3bcxc59

logo识别 python logo识别在线_java

阿里logo识别接口

阿里logo识别地址参考:https://help.aliyun.com/knowledge_detail/155012.html

logo识别 python logo识别在线_官网_02

缺点:这种方式依赖logo库

2.识别图片中的文字,只要有文字,就假设有logo,再进行二次校验

识别图片中的文字,目前不管自己用Java/Python写代码识别图片中文字,还是调用第三方接口,技术都已比较成熟。

下面以其中一种方式举例说明:

直接上代码:

public static String generalBasic(String filePath,String accessToken) {
        // 请求url
        String url = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic";
        try {
            byte[] imgData = FileUtil.readFileByBytes(filePath);
            String imgStr = Base64Util.encode(imgData);
            String imgParam = URLEncoder.encode(imgStr, "UTF-8");

            String param = "image=" + imgParam;

            String result = HttpUtil.post(url, accessToken, param);
            return getWords(result);
        } catch (Exception e) {
            e.printStackTrace();
        }
        return null;
    }
    public static void main(String[] args) {
        String filePath = "D:\\1.jpg";
        String accessToken = "百度api的token";
       String word=generalBasic(filePath,accessToken);
        System.out.println(word);
    }

其他Java类如下:

编码处理类:

package com.example.demo.ocr.common;

/**
 * Base64 工具类
 */
public class Base64Util {
    private static final char last2byte = (char) Integer.parseInt("00000011", 2);
    private static final char last4byte = (char) Integer.parseInt("00001111", 2);
    private static final char last6byte = (char) Integer.parseInt("00111111", 2);
    private static final char lead6byte = (char) Integer.parseInt("11111100", 2);
    private static final char lead4byte = (char) Integer.parseInt("11110000", 2);
    private static final char lead2byte = (char) Integer.parseInt("11000000", 2);
    private static final char[] encodeTable = new char[]{'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '+', '/'};

    public Base64Util() {
    }

    public static String encode(byte[] from) {
        StringBuilder to = new StringBuilder((int) ((double) from.length * 1.34D) + 3);
        int num = 0;
        char currentByte = 0;

        int i;
        for (i = 0; i < from.length; ++i) {
            for (num %= 8; num < 8; num += 6) {
                switch (num) {
                    case 0:
                        currentByte = (char) (from[i] & lead6byte);
                        currentByte = (char) (currentByte >>> 2);
                    case 1:
                    case 3:
                    case 5:
                    default:
                        break;
                    case 2:
                        currentByte = (char) (from[i] & last6byte);
                        break;
                    case 4:
                        currentByte = (char) (from[i] & last4byte);
                        currentByte = (char) (currentByte << 2);
                        if (i + 1 < from.length) {
                            currentByte = (char) (currentByte | (from[i + 1] & lead2byte) >>> 6);
                        }
                        break;
                    case 6:
                        currentByte = (char) (from[i] & last2byte);
                        currentByte = (char) (currentByte << 4);
                        if (i + 1 < from.length) {
                            currentByte = (char) (currentByte | (from[i + 1] & lead4byte) >>> 4);
                        }
                }

                to.append(encodeTable[currentByte]);
            }
        }

        if (to.length() % 4 != 0) {
            for (i = 4 - to.length() % 4; i > 0; --i) {
                to.append("=");
            }
        }

        return to.toString();
    }
}

读图片类:

/**
     * 根据文件路径读取byte[] 数组
     */
    public static byte[] readFileByBytes(String filePath) throws IOException {
        File file = new File(filePath);
        if (!file.exists()) {
            throw new FileNotFoundException(filePath);
        } else {
            ByteArrayOutputStream bos = new ByteArrayOutputStream((int) file.length());
            BufferedInputStream in = null;

            try {
                in = new BufferedInputStream(new FileInputStream(file));
                short bufSize = 1024;
                byte[] buffer = new byte[bufSize];
                int len1;
                while (-1 != (len1 = in.read(buffer, 0, bufSize))) {
                    bos.write(buffer, 0, len1);
                }

                byte[] var7 = bos.toByteArray();
                return var7;
            } finally {
                try {
                    if (in != null) {
                        in.close();
                    }
                } catch (IOException var14) {
                    var14.printStackTrace();
                }

                bos.close();
            }
        }
    }

HttpUtil请求类:

/**
 * http 工具类
 */
public class HttpUtil {

    public static String post(String requestUrl, String accessToken, String params)
            throws Exception {
        String contentType = "application/x-www-form-urlencoded";
        return HttpUtil.post(requestUrl, accessToken, contentType, params);
    }

    public static String post(String requestUrl, String accessToken, String contentType, String params)
            throws Exception {
        String encoding = "UTF-8";
        if (requestUrl.contains("nlp")) {
            encoding = "GBK";
        }
        return HttpUtil.post(requestUrl, accessToken, contentType, params, encoding);
    }

    public static String post(String requestUrl, String accessToken, String contentType, String params, String encoding)
            throws Exception {
        String url = requestUrl + "?access_token=" + accessToken;
        return HttpUtil.postGeneralUrl(url, contentType, params, encoding);
    }

    public static String postGeneralUrl(String generalUrl, String contentType, String params, String encoding)
            throws Exception {
        URL url = new URL(generalUrl);
        // 打开和URL之间的连接
        HttpURLConnection connection = (HttpURLConnection) url.openConnection();
        connection.setRequestMethod("POST");
        // 设置通用的请求属性
        connection.setRequestProperty("Content-Type", contentType);
        connection.setRequestProperty("Connection", "Keep-Alive");
        connection.setUseCaches(false);
        connection.setDoOutput(true);
        connection.setDoInput(true);

        // 得到请求的输出流对象
        DataOutputStream out = new DataOutputStream(connection.getOutputStream());
        out.write(params.getBytes(encoding));
        out.flush();
        out.close();

        // 建立实际的连接
        connection.connect();
        // 获取所有响应头字段
        Map<String, List<String>> headers = connection.getHeaderFields();
        // 遍历所有的响应头字段
//        for (String key : headers.keySet()) {
//            System.err.println(key + "--->" + headers.get(key));
//        }
        // 定义 BufferedReader输入流来读取URL的响应
        BufferedReader in = null;
        in = new BufferedReader(
                new InputStreamReader(connection.getInputStream(), encoding));
        String result = "";
        String getLine;
        while ((getLine = in.readLine()) != null) {
            result += getLine;
        }
        in.close();
//        System.err.println("result:" + result);
        return result;
    }
}

获取百度token:

import org.json.JSONObject;

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.List;
import java.util.Map;

/**
 * 获取token类
 */
public class AuthService {
    public static void main(String[] args){
        String token=getAuth();
        System.out.println(token);
    }
    /**
     * 获取权限token
     * @return 返回示例:
     * {
     * "access_token": "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567",
     * "expires_in": 2592000
     * }
     */
    public static String getAuth() {
        // 官网获取的 API Key 更新为你注册的
        String clientId = "您的API Key";
        // 官网获取的 Secret Key 更新为你注册的
        String clientSecret = "您的Secret Key";
        return getAuth(clientId, clientSecret);
    }

    /**
     * 获取API访问token
     * 该token有一定的有效期,需要自行管理,当失效时需重新获取.
     * @param ak - 百度云官网获取的 API Key
     * @param sk - 百度云官网获取的 Securet Key
     * @return assess_token 示例:
     * "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567"
     */
    public static String getAuth(String ak, String sk) {
        // 获取token地址
        String authHost = "https://aip.baidubce.com/oauth/2.0/token?";
        String getAccessTokenUrl = authHost
                // 1. grant_type为固定参数
                + "grant_type=client_credentials"
                // 2. 官网获取的 API Key
                + "&client_id=" + ak
                // 3. 官网获取的 Secret Key
                + "&client_secret=" + sk;
        try {
            URL realUrl = new URL(getAccessTokenUrl);
            // 打开和URL之间的连接
            HttpURLConnection connection = (HttpURLConnection) realUrl.openConnection();
            connection.setRequestMethod("GET");
            connection.connect();
            // 获取所有响应头字段
            Map<String, List<String>> map = connection.getHeaderFields();
            // 遍历所有的响应头字段
            for (String key : map.keySet()) {
                System.err.println(key + "--->" + map.get(key));
            }
            // 定义 BufferedReader输入流来读取URL的响应
            BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()));
            String result = "";
            String line;
            while ((line = in.readLine()) != null) {
                result += line;
            }
            /**
             * 返回结果示例
             */
            System.err.println("result:" + result);
            JSONObject jsonObject = new JSONObject(result);
            String access_token = jsonObject.getString("access_token");
            return access_token;
        } catch (Exception e) {
            System.err.printf("获取token失败!");
            e.printStackTrace(System.err);
        }
        return null;
    }

}

百度接口调用及简单二次开发:

private static String getWords(String json) {
        JSONObject obj=new JSONObject(json);
        Integer words_result_num=obj.getInt("words_result_num");
        if(words_result_num>0){
            JSONArray list=obj.getJSONArray("words_result");
            String words="";
            for(int i=0;i<list.length();i++){
                JSONObject obj2=list.getJSONObject(i);
                words=words+("".equals(words)?"":",")+obj2.get("words");
                //System.out.println(list.get(i));
                //System.out.println(obj2.get("words"));
            }
            return words;
        }
        return "";
    }
    public static String generalBasic(String filePath,String accessToken) {
        // 请求url
        String url = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic";
        try {
            byte[] imgData = FileUtil.readFileByBytes(filePath);
            String imgStr = Base64Util.encode(imgData);
            String imgParam = URLEncoder.encode(imgStr, "UTF-8");

            String param = "image=" + imgParam;

            String result = HttpUtil.post(url, accessToken, param);
            return getWords(result);
        } catch (Exception e) {
            e.printStackTrace();
        }
        return null;
    }

下面拿2张图,识别出的logo举例:

logo识别 python logo识别在线_java_03

这张图,识别出“hzfwjgs cn alibaba. com”,如下字符串:

logo识别 python logo识别在线_logo识别 python_04

logo识别 python logo识别在线_官网_05

这张图,识别出“分南宁市第一中学”,如下字符串:

logo识别 python logo识别在线_官网_06

完整代码地址 http://www.zrscsoft.com/sitepic/12130.html

3.识别图片中的文字,通过logo文字库,来判断是否是logo

这种方式,是在方案2基础上继续延续的方案。

主要分三步实现:

1)、识别图片中的文字

详细见方案2,这里略。

2)、建立logo文字库

建立logo文字库,细节就不详细说。举个例子吧。

logo文字库如“www”,“com”,“网”,“媒体”,“新闻”等等。

3)、使用logo文字库来判断图片是否带logo

根据图片中的文字,检索logo文字库中的文字,例如图片中带“www”,“com”,“网”,“媒体”,“新闻”就判断为是带logo的图片

完整项目地址:http://www.zrscsoft.com/sitepic/12130.html

4.直接识别logo,但需要通过大量带logo图片进行训练,来实现识别的准确性

这种方式,目前还没有找到实现方法。如果有实现,欢迎在评论区留言。