【手写文字识别】-JavaAPI示例代码

时间:2022-04-28
本文章向大家介绍【手写文字识别】-JavaAPI示例代码,主要内容包括其使用实例、应用技巧、基本知识点总结和需要注意事项,具有一定的参考价值,需要的朋友可以参考一下。
手写文字识别-JavaAPI示例代码
  • 不知不觉手写文字识别百度已经开始邀测了。需要的小伙伴去申请了哦。申请方式加入文字识别群找PM。或者工单提交申请。都要说明自己的APPID哦。
  • 接口地址:https://aip.baidubce.com/rest/2.0/ocr/v1/handwriting

-----------------------------------------下面开始代码--------------------------------------------------

  • 手写文字识别-示例代码
import java.net.URLEncoder;

import com.baidu.aip.util.Base64Util;
import com.xiaoshuai.baidu.util.FileUtil;
import com.xiaoshuai.baidu.util.HttpUtil;

/**
 * @author 小帅丶
 * @类名称  HandWriteTest
 * @remark 手写文字接口示例代码
 * @date  2018-1-26
 */
public class HandWriteTest {
	public static void main(String[] args) throws Exception {
		String url = "https://aip.baidubce.com/rest/2.0/ocr/v1/handwriting";
		String accessToken = "自己的access_token";
		byte[] imageData = FileUtil.readFileByBytes("C:/Users/Administrator/Desktop/xs.jpg");
		String img64 = Base64Util.encode(imageData);
		String param ="image="+URLEncoder.encode(img64,"UTF-8");
		System.out.println("请求的参数:"+param);
		String object = HttpUtil.post(url, accessToken, param);
		System.out.println(new String(object));
	}
}
  • 手写文字识别-返回的JSON字符串(全部内容)

因为文档还没有。不太确定参数是什么。默认只传递到了image参数。会对图片上的横线也做了识别。

{"log_id": 8502255431261249697, "words_result_num": 11, "words_result": [{"location": {"width": 323, "top": 20, "left": 5, "height": 18}, "words": "………………….…………………………………………"}, {"location": {"width": 1041, "top": 25, "left": 347, "height": 41}, "words": "……………………………………………………………………………………………………………………………………………………………………………………………………"}, {"location": {"width": 944, "top": 159, "left": 2, "height": 39}, "words": "………………………"}, {"location": {"width": 438, "top": 176, "left": 981, "height": 25}, "words": "…………………………………:*"}, {"location": {"width": 243, "top": 298, "left": 2, "height": 23}, "words": "…………………………………………………………."}, {"location": {"width": 436, "top": 309, "left": 266, "height": 20}, "words": "……………………………………"}, {"location": {"width": 729, "top": 314, "left": 698, "height": 23}, "words": "………………………………………………"}, {"location": {"width": 233, "top": 588, "left": 5, "height": 22}, "words": "…………"}, {"location": {"width": 692, "top": 454, "left": 366, "height": 198}, "words": "开发者小帅"}, {"location": {"width": 398, "top": 732, "left": 423, "height": 15}, "words": "………………,………………………………………………………………………………"}, {"location": {"width": 596, "top": 862, "left": 840, "height": 19}, "words": "……………………………………"}]}
  • 手写文字识别-返回的JSON字符串(图片文字内容)
{
    "log_id": 8502255431261250000, 
    "words_result_num": 11, 
    "words_result": [
        {
            "location": {
                "width": 692, 
                "top": 454, 
                "left": 366, 
                "height": 198
            }, 
            "words": "开发者小帅"
        }
    ]
}
  • 手写文字识别-测试图片

是不是发现识别还是蛮不错的。相当准确。当然前提是作者写的字不错了。哈哈。

过于潦草的也进行了测试。准确率在75%左右