1.接口说明

字迹比对OCR(API)定义:用于判定是否同一个书写的文字内容;精准识别笔迹特征,秒级验证书写一致性。支持合同签名验证、考试防作弊、法律文书鉴定等场景,提供多语言SDK,接入简单。

1.1主要功能

字迹比对OCR接口能够精准识别笔迹特征。其主要功能包括:

高精度识别:
大规模真实笔迹样本训练,准确率有保证。
多场景应用:
支持考试防作弊、合同签名验证、司法文书鉴定等场景。
极简集成:
提供Python/Java/PHP/C#等SDK,快速接入。
高精度与性能:
识别准确率高,响应速度快。

1.2接入场景

支持各种程序和设备接入,包括小程序、APP、采集设备等,灵活适用于不同应用场景。

2.请求信息

2.1请求地址(URL)

POST http(s)://ocr-api.shiliuai.com/api/handwriting_verification/v1

2.2请求方式

POST

2.3请求头(header)

参数 类型 说明
Content-Type string application/json
Authorization string 'APPCODE ' + 您的AppCode (注意英文空格)
参数 类型 说明
Content-Type string application/json
x-ca-key string 您的AppKey
x-ca-timestamp string 时间戳(毫秒)
x-ca-signature string 签名sign

签名方法:

str = app_key×tamp&app_secret
sign = md5(str)

2.4请求体(body)

参数 是否必填 类型 说明
image_base64_1 string base64编码的图片文件1, 像素范围:[15,8192],小于20M
image_base64_2 string base64编码的图片文件2, 像素范围:[15,8192],小于20M
thresh float 阈值,默认为0.734

3.返回信息

3.1返回类型

JSON

3.2返回码

参数名 类型 说明
code int 返回码,200表示成功
message string 返回信息

3.3返回信息

参数 类型 说明
code int 错误码
msg string 错误信息(英文)
msg_cn string 错误信息(中文)
success bool 识别是否成功
image_id string 图片ID
request_id string 唯一请求ID
data data 具体看下面

3.3.1 data 信息

参数 参数类型 说明 举例
score float 相似度分数[-1, 1] 0.92
verified bool 是否同一个人所写 True

3.4返回示例

成功返回示例

{
    'code': 200,
    'msg': 'OK',
    'msg_cn': '成功',
    'success': True,
    'image_id': image id,
    'request_id': request id,
    'data': data
}

data = {
    'score': 0.92,
    'verified': True
}

错误返回示例

{
    'code': error code,
    'msg': error message,
    'msg_cn': 中文错误信息,
    'success': False,
    'image_id': image id,
    'request_id': request id,
    'data': {}
}

3.5错误码

错误码 说明
200 成功
400 错误请求,比如参数错误
401 未经授权
403 禁止访问
500 内部错误

4.示例代码

4.1 Python

# -*- coding: utf-8 -*-
import requests
import base64
import json

# 请求接口
URL = " `https://ocr-api.shiliuai.com/api/handwriting_verification/v1` "

# 图片转base64
def get_base64(file_path):
    with open(file_path, 'rb') as f:
        data = f.read()
    b64 = base64.b64encode(data).decode('utf8')
    return b64


def demo(appcode, file_path_1, file_path_2):
    # 请求头
    headers = {
        'Authorization': 'APPCODE %s' % appcode,
        'Content-Type': 'application/json'
        }

    # 请求体
    b64_1 = get_base64(file_path_1)
    b64_2 = get_base64(file_path_2)
    data = {
        "image_base64_1": b64_1,
        "image_base64_2": b64_2,
        "thresh": 0.7
        }

    # 请求
    response = requests.post(url=URL, headers=headers, json=data)
    content = json.loads(response.content)
    print(content)


if __name__=="__main__":
    appcode = "你的APPCODE"
    file_path_1 = "本地图片1路径"
    file_path_2 = "本地图片2路径"
    demo(appcode, file_path_1, file_path_2)
# -*- coding: utf-8 -*-
import requests
import base64
import json
import hashlib
import time

# 请求接口
URL = " `https://ocr-api.shiliuai.com/api/handwriting_verification/v1` "

# 图片转base64
def get_base64(file_path):
    with open(file_path, 'rb') as f:
        data = f.read()
    b64 = base64.b64encode(data).decode('utf8')
    return b64

# md5
def md5(s):
    return hashlib.md5(s.encode("utf8")).hexdigest()


def demo(app_key, app_secret, file_path_1, file_path_2):
    # 请求头
    t = int(time.time() * 1000)
    s = "%s&%s&%s" % (app_key, t, app_secret)
    sign = md5(s)
    headers = {'x-ca-key': app_key,
            'x-ca-timestamp': t,
            'x-ca-signature': sign,
            "Content-Type": "application/json"}


    # 请求体
    b64_1 = get_base64(file_path_1)
    b64_2 = get_base64(file_path_2)
    data = {
        "image_base64_1": b64_1,
        "image_base64_2": b64_2,
        "thresh": 0.7
        }


    # 请求
    response = requests.post(url=URL, headers=headers, json=data)
    content = json.loads(response.content)
    print(content)


if __name__=="__main__":
    app_key = "你的APP_KEY"
    app_secret = "你的APP_SECRET"
    file_path_1 = "本地图片1路径"
    file_path_2 = "本地图片2路径"
    demo(app_key, app_secret, file_path_1, file_path_2)

4.2 PHP

// 请求接口
define("URL", " `https://ocr-api.shiliuai.com/api/handwriting_verification/v1` ");

// 图片转base64
function get_base64($file_path) {
    $data = file_get_contents($file_path);
    return base64_encode($data);
}

function demo($appcode, $file_path_1, $file_path_2) {
    // 请求头
    $headers = [
        'Authorization: APPCODE ' . $appcode,
        'Content-Type: application/json'
    ];

    // 请求体
    $b64_1 = get_base64($file_path_1);
    $b64_2 = get_base64($file_path_2);
    $data = [
        "image_base64_1" => $b64_1,
        "image_base64_2" => $b64_2,
        "thresh" => 0.7
    ];

    // 初始化cURL
    $ch = curl_init();

    // 设置cURL选项
    curl_setopt($ch, CURLOPT_URL, URL);
    curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($ch, CURLOPT_POST, true);
    curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
    curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
    curl_setopt($ch, CURLOPT_SSL_VERIFYPEER, false);

    // 执行请求
    $response = curl_exec($ch);

    // 检查错误
    if(curl_errno($ch)) {
        echo 'cURL Error: ' . curl_error($ch);
    } else {
        $result = json_decode($response, true);
        print_r($result);
    }

    // 关闭cURL资源
    curl_close($ch);
}

// 主程序
if ($_SERVER['SCRIPT_FILENAME'] == __FILE__) {
    $appcode = "你的APPCODE";
    $file_path_1 = "本地图片1路径";
    $file_path_2 = "本地图片2路径";
    demo($appcode, $file_path_1, $file_path_2);
}
function get_base64($path){
    if($fp = fopen($path, "rb", 0)) {
        $binary = fread($fp, filesize($path)); // 文件读取
        fclose($fp);
        $b64 = base64_encode($binary); // 转base64
    }else{
        $b64="";
        printf("%s 文件不存在", $path);
    }
    return $b64;
}

$url = " `https://ocr-api.shiliuai.com/api/bank_card_ocr/v1` ";
$img_path = "图片路径";
$method = "POST";


//请求头
$app_key = "你的app_key";
$app_secret = "你的app_secret";
$timestamp=time();
$sign_string = $app_key . "&" . $timestamp . "&" . $app_secret;
$sign = md5($sign_string);

$headers = array();
array_push($headers, "Content-Type:application/json");
array_push($headers, "x-ca-key:" . $app_key);
array_push($headers, "x-ca-timestamp:" . $timestamp);
array_push($headers, "x-ca-signature:" . $sign);


//请求体
$b64 = get_base64($img_path);
$data = array(
    "image_base64" => $b64
);
$post_data = json_encode($data);


//请求
$curl = curl_init();
curl_setopt($curl, CURLOPT_CUSTOMREQUEST, $method);
curl_setopt($curl, CURLOPT_URL, $url);
curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
curl_setopt($curl, CURLOPT_FAILONERROR, false);
curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
curl_setopt($curl, CURLOPT_HEADER, true);
curl_setopt($curl, CURLOPT_SSL_VERIFYPEER, false);
curl_setopt($curl, CURLOPT_SSL_VERIFYHOST, false);
curl_setopt($curl, CURLOPT_POSTFIELDS, $post_data);


$result = curl_exec($curl);
var_dump($result);

4.3 Java

import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONObject;
import org.apache.http.HttpResponse;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;
import org.apache.commons.io.FileUtils;
import java.io.File;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.Base64;

public class Main {

    public static String get_base64(String path) {
        String b64 = "";
        try {
            byte[] content = FileUtils.readFileToByteArray(new File(path));
            b64 = Base64.getEncoder().encodeToString(content);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return b64;
    }

    public static void main(String[] args) {
        String url = " `https://ocr-api.shiliuai.com/api/handwriting_verification/v1` ";
        String appcode = "你的APPCODE";
        String imgFile1 = "本地图片路径1";
        String imgFile2 = "本地图片路径2";

        Map headers = new HashMap<>();
        headers.put("Authorization", "APPCODE " + appcode);
        headers.put("Content-Type", "application/json");

        JSONObject requestObj = new JSONObject();
        requestObj.put("image_base64_1", get_base64(imgFile1));
        requestObj.put("image_base64_2", get_base64(imgFile2));
        String bodys = requestObj.toString();

        try (CloseableHttpClient httpClient = HttpClients.createDefault()) {
            HttpPost httpPost = new HttpPost(url);

            for (Map.Entry entry : headers.entrySet()) {
                httpPost.addHeader(entry.getKey(), entry.getValue());
            }

            StringEntity entity = new StringEntity(bodys, "UTF-8");
            httpPost.setEntity(entity);

            HttpResponse response = httpClient.execute(httpPost);

            int stat = response.getStatusLine().getStatusCode();
            if (stat != 200) {
                System.out.println("Http code: " + stat);
                return;
            }

            String res = EntityUtils.toString(response.getEntity());
            JSONObject res_obj = JSON.parseObject(res);
            System.out.println(res_obj.toJSONString());
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}
import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONObject;
import org.apache.commons.io.FileUtils;
import org.apache.http.HttpResponse;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;
import java.io.File;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.Base64;
import java.security.MessageDigest;
import java.security.NoSuchAlgorithmException;

public class Demo {

    public static String get_base64(String path) {
        String b64 = "";
        try {
            File file = new File(path);
            if (!file.exists()) {
                System.err.println("文件不存在: " + path);
                return b64;
            }
            byte[] content = FileUtils.readFileToByteArray(file);
            b64 = Base64.getEncoder().encodeToString(content);
        } catch (IOException e) {
            System.err.println("读取文件失败: " + e.getMessage());
            e.printStackTrace();
        }
        return b64;
    }

    public static String MD5(String input) {
        try {
            MessageDigest md = MessageDigest.getInstance("MD5");
            byte[] messageDigest = md.digest(input.getBytes());

            StringBuilder hexString = new StringBuilder();
            for (byte b : messageDigest) {
                String hex = Integer.toHexString(0xff & b);
                if (hex.length() == 1)
                    hexString.append('0');
                hexString.append(hex);
            }
            return hexString.toString();
        } catch (NoSuchAlgorithmException e) {
            e.printStackTrace();
        }
        return null;
    }

    public static void main(String[] args) {
        String url = " `https://ocr-api.shiliuai.com/api/handwriting_verification/v1` ";
        String imgFile1 = "本地图片路径1";
        String imgFile2 = "本地图片路径2";
        String app_key = "你的APPKEY";
        String app_secret = "你的APPSECRET";
        String timestamp = System.currentTimeMillis() + "";
        String sign = MD5(app_key + "&" + timestamp + "&" + app_secret);

        Map headers = new HashMap<>();
        headers.put("Content-Type", "application/json");
        headers.put("x-ca-key", app_key);
        headers.put("x-ca-timestamp", timestamp);
        headers.put("x-ca-signature", sign);

        JSONObject requestObj = new JSONObject();
        requestObj.put("image_base64_1", get_base64(imgFile1));
        requestObj.put("image_base64_2", get_base64(imgFile2));
        String bodys = requestObj.toString();

        try (CloseableHttpClient httpClient = HttpClients.createDefault()) {
            HttpPost httpPost = new HttpPost(url);

            for (Map.Entry entry : headers.entrySet()) {
                httpPost.addHeader(entry.getKey(), entry.getValue());
            }

            StringEntity entity = new StringEntity(bodys, "UTF-8");
            httpPost.setEntity(entity);

            HttpResponse response = httpClient.execute(httpPost);

            int stat = response.getStatusLine().getStatusCode();
            if (stat != 200) {
                System.out.println("Http code: " + stat);
                System.out.println("Http  " + EntityUtils.toString(response.getEntity()));
                return;
            }

            String res = EntityUtils.toString(response.getEntity());
            JSONObject res_obj = JSON.parseObject(res);
            System.out.println(res_obj.toJSONString());
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

4.4 C#

using System.Text;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;

namespace MyCSharpApp
{
    public class Program
    {
        public static string GetBase64(string path)
        {
            string b64 = "";
            try
            {
                // 读取文件内容
                byte[] content = File.ReadAllBytes(path);
                // 转换为Base64
                b64 = Convert.ToBase64String(content);
            }
            catch (Exception e)
            {
                Console.WriteLine(e.Message);
            }
            return b64;
        }

        public static async Task Main(string[] args)
        {
            string url = " `https://ocr-api.shiliuai.com/api/handwriting_verification/v1` "; // 请求接口
            string appcode = "你的APPCODE";
            string imgFile1 = "本地图片路径1";
            string imgFile2 = "本地图片路径2";

            // 设置请求头 
            Dictionary headers = new Dictionary
            {
                { "Authorization", "APPCODE " + appcode }
                // Content-Type 将在创建 StringContent 时设置
            };

            // 请求体
            JObject requestObj = new JObject();
            requestObj["image_base64_1"] = GetBase64(imgFile1);
            requestObj["image_base64_2"] = GetBase64(imgFile2);
            requestObj["thresh"] = 0.7;
            string body = requestObj.ToString();

            try
            {
                using (HttpClient client = new HttpClient())
                {
                    // 设置请求头
                    foreach (var header in headers)
                    {
                        client.DefaultRequestHeaders.Add(header.Key, header.Value);
                    }

                    // 创建请求内容 
                    StringContent content = new StringContent(body, Encoding.UTF8, "application/json");

                    // 发送请求并获取响应
                    HttpResponseMessage response = await client.PostAsync(url, content);

                    if (!response.IsSuccessStatusCode)
                    {
                        Console.WriteLine($"Http code: {(int)response.StatusCode}");
                        return;
                    }

                    // 读取响应内容
                    string responseContent = await response.Content.ReadAsStringAsync();
                    JObject resObj = JObject.Parse(responseContent);

                    Console.WriteLine(resObj.ToString(Formatting.Indented));
                }
            }
            catch (Exception e)
            {
                Console.WriteLine(e.Message);
            }
        }
    }
}
using System.Security.Cryptography;
using System.Text;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;

namespace MyCSharpApp
{
    public class Program
    {
        public static string GetBase64(string path)
        {
            string b64 = "";
            try
            {
                // 读取文件内容
                byte[] content = File.ReadAllBytes(path);
                // 转换为Base64
                b64 = Convert.ToBase64String(content);
            }
            catch (Exception e)
            {
                Console.Error.WriteLine("读取文件失败: " + e.Message);
                Console.WriteLine(e.Message);
            }
            return b64;
        }

        public static string CalculateMD5(string input)
        {
            try
            {
                // 创建MD5哈希提供程序
                using (MD5 md5 = MD5.Create())
                {
                    // 计算输入字符串的哈希值
                    byte[] inputBytes = Encoding.UTF8.GetBytes(input);
                    byte[] hashBytes = md5.ComputeHash(inputBytes);

                    // 将字节数组转换为十六进制字符串
                    StringBuilder sb = new StringBuilder();
                    for (int i = 0; i < hashBytes.Length; i++)
                    {
                        sb.Append(hashBytes[i].ToString("x2"));
                    }
                    return sb.ToString();
                }
            }
            catch (Exception e)
            {
                Console.WriteLine(e.Message);
                return string.Empty; // 返回空字符串而不是null
            }
        }

        public static async Task Main(string[] args)
        {
            string url = " `https://ocr-api.shiliuai.com/api/handwriting_verification/v1` "; // 请求接口
            string imgFile1 = "本地图片路径1";
            string imgFile2 = "本地图片路径2";
            string app_key = "你的APPKEY";
            string app_secret = "你的APPSECRET";
            string timestamp = DateTimeOffset.Now.ToUnixTimeMilliseconds().ToString();
            string sign = CalculateMD5(app_key + "&" + timestamp + "&" + app_secret);

            // 设置请求头
            Dictionary headers = new Dictionary
            {
                { "x-ca-key", app_key },
                { "x-ca-timestamp", timestamp },
                { "x-ca-signature", sign }
                // Content-Type 将在创建 StringContent 时设置
            };

            // 请求体
            JObject requestObj = new JObject();
            requestObj["image_base64_1"] = GetBase64(imgFile1);
            requestObj["image_base64_2"] = GetBase64(imgFile2);
            requestObj["thresh"] = 0.7;
            string body = requestObj.ToString();
            try
            {
                using (HttpClient client = new HttpClient())
                {
                    // 设置请求头
                    foreach (var header in headers)
                    {
                        client.DefaultRequestHeaders.Add(header.Key, header.Value);
                    }

                    // 创建请求内容
                    StringContent content = new StringContent(body, Encoding.UTF8, "application/json");

                    // 发送请求并获取响应
                    HttpResponseMessage response = await client.PostAsync(url, content);

                    if (!response.IsSuccessStatusCode)
                    {
                        Console.WriteLine($"Http code: {(int)response.StatusCode}");
                        Console.WriteLine($"Http {await response.Content.ReadAsStringAsync()}");
                        return;
                    }

                    // 读取响应内容
                    string responseContent = await response.Content.ReadAsStringAsync();
                    JObject resObj = JObject.Parse(responseContent);

                    Console.WriteLine(resObj.ToString(Formatting.Indented));
                }
            }
            catch (Exception e)
            {
                Console.WriteLine(e.Message);
            }
        }
    }
}