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;
//调用上传回调函数 - upload
this.upLoad(this.$baseUrl + "upload/uploadParsing", file,
function (response) {
if( response.msg.length >0){
console.log(response.msg)
}else{
Toast.fail('识别失败,请重新上传条码!',3500)
}
});
},
upLoad(url, file, func) {
var fileBase64 =''
// 创建Canvas对象(画布)
debugger
let canvas = document.createElement("canvas");
// 获取对应的CanvasRenderingContext2D对象(画笔)
let context = canvas.getContext("2d");
// 创建新的图片对象
let img = new Image();
// 指定图片的DataURL(图片的base64编码数据)
img.src = file.content;
// 监听浏览器加载图片完成,然后进行进行绘制
img.onload = () => {
// 指定canvas画布大小,该大小为最后生成图片的大小
canvas.width = 400;
canvas.height = 300;
/* drawImage画布绘制的方法。(0,0)表示以Canvas画布左上角为起点,400,300是将图片按给定的像素进行缩小。
如果不指定缩小的像素图片将以图片原始大小进行绘制,图片像素如果大于画布将会从左上角开始按画布大小部分绘制图片,最后的图片就是张局部图。*/
context.drawImage(img, 0, 0, 400, 300);
// 将绘制完成的图片重新转化为base64编码,file.file.type为图片类型,0.92为默认压缩质量
file.content = canvas.toDataURL(file.file.type, 0.92);
fileBase64 = file.content
// 最后将base64编码的图片保存到数组中,留待上传。43 console.log(fileBase64)
//查询字典值
this.$axios.post(url,{'fileBase64Code' :fileBase64})
.then(function (response) {
func(response.data);
}.bind(this))
.catch(function (error) {
Toast.file("识别失败,请重新上传条码!",3500);
})
};
},
后端部分(Java )
-
添加 zxing + base64 依赖
<!-- 解析条码码 -->
<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编码之后 读取条 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(); log.debug("解析失败:",e); rm.setSuccess(false); rm.setMsg("解析失败"); } return rm; }