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; }