Vue+Java+Base64實現條碼解析

Mr_Bingzi發表於2020-09-22

前端部分(Vue + Vant)

  • 引入Vant、使用Vant中的Uploader元件上傳檔案(支援手機拍照)

import Vue from 'vue' 
import { Uploader } from 'vant' 
Vue.use(Uploader);
  • 使用Uploader上傳元件

 <van-uploader>
   <van-button icon="plus" type="primary" :after-read="afterRead">        
     上傳檔案(識別條碼)
  </van-button>
 </van-uploader>

 

  • js部分、檔案上傳完畢後會觸發 after-read 回撥函式,獲取到對應的 file 物件。

afterRead(file) {
    var self = this;
    //呼叫上傳回撥函式 - upload
    this.upLoad(this.$baseUrl + "upload/uploadParsing", file,
    function (response) {
       if( response.msg.length >0){
          console.log(response.msg)
       }else{
           Toast.fail('識別失敗,請重新上傳條碼!',3500)
        }
     });   

  },
 
  upLoad(url, file, func) {
       var fileBase64 =''
       // 建立Canvas物件(畫布)
       debugger
       let canvas = document.createElement("canvas");
       // 獲取對應的CanvasRenderingContext2D物件(畫筆)
       let context = canvas.getContext("2d");
       // 建立新的圖片物件
       let img = new Image();
       // 指定圖片的DataURL(圖片的base64編碼資料)
       img.src = file.content;
       // 監聽瀏覽器載入圖片完成,然後進行進行繪製
       img.onload = () => {
           // 指定canvas畫布大小,該大小為最後生成圖片的大小
           canvas.width = 400;
           canvas.height = 300;
           /* drawImage畫布繪製的方法。(0,0)表示以Canvas畫布左上角為起點,400,300是將圖片按給定的畫素進行縮小。
           如果不指定縮小的畫素圖片將以圖片原始大小進行繪製,圖片畫素如果大於畫布將會從左上角開始按畫布大小部分繪製圖片,最後的圖片就是張區域性圖。*/
 
           context.drawImage(img, 0, 0, 400, 300);
           // 將繪製完成的圖片重新轉化為base64編碼,file.file.type為圖片型別,0.92為預設壓縮質量
           file.content = canvas.toDataURL(file.file.type, 0.92);
           fileBase64 = file.content
           // 最後將base64編碼的圖片儲存到陣列中,留待上傳。43           console.log(fileBase64)
           //查詢字典值
           this.$axios.post(url,{'fileBase64Code' :fileBase64})
           .then(function (response) {
              func(response.data);
           }.bind(this))
           .catch(function (error) {
               Toast.file("識別失敗,請重新上傳條碼!",3500);
           })
     };
  },

 

後端部分(Java )

  • 新增 zxing +  base64 依賴

<!-- 解析二維碼 -->
  <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>


    <!-- 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(); //解析Base64編碼之後 讀取條 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("解析失敗"); 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("條形碼的內容是:" + decode.getText()); rm.setMsg(decode.getText()); } catch (Exception e) { e.printStackTrace(); log.debug("解析失敗:",e); rm.setSuccess(false); rm.setMsg("解析失敗"); } return rm; }

 

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