Base64编码，解码、条码识别

前端部分（vue + vant）

• 引入Vant、使用Vant中的Uploader组件上传文件(支持手机拍照)

import Vue from 'vue' 
import { Uploader } from 'vant'
Vue.use(Uploader);

• 使用Uploader上传组件

<van-uploader>
      <van-button icon="plus" type="primary" :after-read="afterRead">上传文件(识别条码)</van-button>        
</van-uploader>

• js部分、文件上传完毕后会触发 after-read 回调函数，获取到对应的 file 对象

afterRead(file) {
    var self = this;
    this.upLoad(this.$baseUrl + "upload/uploadParsing", file,
    function (response) {
          if( response.msg.length >0){
                console.log(response.msg)
          }else{
                Toast.fail('识别失败，请重新上传条码！',3500)
          }
    });   
 },

• js部分、文件上传upload函数

upLoad(url, file, func) {
    var fileBase64 =''
    // 创建Canvas对象(画布)
    let canvas = document.createElement("canvas");
    // 获取对应的CanvasRenderingContext2D对象(画笔)
    let context = canvas.getContext("2d");
    // 创建新的图片对象
    let img = new Image();
    // 指定图片的DataURL(图片的base64编码数据)
    img.src = file.content;

    // 监听浏览器加载图片完成，然后进行进行绘制
    img.onload = () => {
        // 指定canvas画布大小，该大小为最后生成图片的大小
        canvas.width = 400;
        canvas.height = 300; 
        context.drawImage(img, 0, 0, 400, 300);

        // 将绘制完成的图片重新转化为base64编码，file.file.type为图片类型，0.92为默认压缩质量
        file.content = canvas.toDataURL(file.file.type, 0.92);
        baseStr = file.content

        //请求后台进行解码、解析条码
        this.$axios.post(url,{'fileBase64Code' :baseStr})
            .then( response => {
                  func(response.data);
            }）
            .catch( error => {
                  Toast.file("识别失败，请重新上传条码！",3500);
            })
      };
},

后端部分（Java ）

• 添加二维码、条形码解析依赖 [zxing]

<dependency>
    <groupId>com.google.zxing</groupId>
    <artifactId>core</artifactId>
    <version>3.3.3</version>
</dependency>
<dependency>
    <groupId>com.google.zxing</groupId>
    <artifactId>javase</artifactId>
    <version>3.3.3</version>
</dependency>    

• 添加图片转码、解码依赖 [base64]

<!-- https://mvnrepository.com/artifact/net.iharder/base64 -->
<dependency>
    <groupId>net.iharder</groupId>
    <artifactId>base64</artifactId>
    <version>2.3.8</version>
</dependency>

• Controller

@ResponseBody
@RequestMapping(value = "/uploadParsing", method = RequestMethod.POST)
public ResponseMessage uploadParsing(@RequestBody imgUploadMessage uploadFile){
      ResponseMessage rm=new ResponseMessage(); 
      try {
            String imgStr = uploadFile.getFileBase64Code().substring(uploadFile.getFileBase64Code().indexOf(",")+1);
            Decoder decoder = Base64.getDecoder();
            byte[] base = decoder.decode(imgStr);
            for (int i = 0; i < base.length; ++i) {
            if (base[i] < 0) {
                  base[i] += 256;
            }
      }

      ByteArrayInputStream byteArrayInputStream = new ByteArrayInputStream(base);
      BufferedImage read = ImageIO.read( byteArrayInputStream);
            if (null==read) {
            rm.setMsg("解析失败");
            rm.setSuccess(false);
            return rm;
      }

      BufferedImageLuminanceSource source = new BufferedImageLuminanceSource(read);
      BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));
      Map<DecodeHintType,Object> hints=new HashMap<>();
      hints.put(DecodeHintType.CHARACTER_SET,"GBK");
      hints.put(DecodeHintType.PURE_BARCODE,Boolean.TRUE);
      hints.put(DecodeHintType.TRY_HARDER,Boolean.TRUE);

      Result decode = new MultiFormatReader().decode(bitmap, hints);
      log.debug("条形码的内容是：" + decode.getText());
      rm.setMsg(decode.getText());
        
      } catch (Exception e) {
            e.printStackTrace();
            rm.setSuccess(false);
            rm.setMsg("解析失败");
      }
  return rm;
}

题外拓展

• base64格式 开头 [/9j/]

/9j/...AQSkZJRgABAQEAYABgAAD//gBER2VuZXJhdGVkIHdpdGggQmFyY29kZSBHZW...//2Q==

• 可以借助图片转Base64在线工具进行测试，查看编码详细格式
  🌿 图片转Base64在线工具
  🌿 Code 128条形码生成器