一种基于新型标签识别的购物导航系统  

A New Shopping Navigation System Based on Label Recognition

作　　者：丁伟利[1] 李勇[1] 高晓阳[1] 朱波[1] 

机构地区：[1]燕山大学电气工程学院,河北秦皇岛066004

出　　处：《光电工程》2015年第1期51-57,共7页Opto-Electronic Engineering

基　　金：国家自然科学基金资助项目(61005034);河北省自然科学基金(F2012203185)资助项目

摘　　要：传统条形码和二维码需要铺平识别,且条形码位置不够明显,区域较小,需要在非常近的距离进行识别这些缺陷。本文设计了一套新型标签,以及一种可用于大型卖场的购物导航系统,用于快速有效的向顾客提供欲购商品的详细信息。该系统由图像采集记录模块、标签识别模块、数据库、传输模块、位置导航模块组成。系统通过图像采集记录模块拍摄商品标签信息;标签识别模块对所设计的新型标签进行识别处理,并从数据库模块中调取与识别结果相匹配的商品信息;传输模块通过数据线和无线收发技术将信息传送至位置导航模块;位置导航模块指示出该商品的实际位置,并显示出该商品的具体信息。本文针对上百幅图像进行了实验,实验结果表明:系统第一次对标签识别的正确率为90%以上,且即使第一次识别失败,也可通过简单调整商标在图像中间位置而得出正确的识别结果,且可同时向顾客提供商品信息,辅助顾客快速找到自己中意的商品。In order to quickly and efficiently provide detailed information of goods to customers, we design a new label, as well as shopping navigation system which can be used in large stores. The system records the image acquisition module, a tag identifying module, a database, the transmission module, and the position of the navigation module. Image acquisition system recording module is taken by commodity label information. Label recognition module for the design of the new label recognition processing, and retrieval and identification results match the product information from the database module. Transmission module via data lines and wireless transceiver technology navigate to the location information transmission module. Navigation module indicates the position of the actual position of the product, and shows that the product -specific information. Hundreds of images experiments were carried out first to correctly identify the exact rate of 90%. If the first identification fails, you can take pictures by simply re-adjust the recognition results Experimental results show that the new shopping navigation system based on label recognition to solve the traditional bar codes and 2D codes need to pave the identification and location of the bar code is not obvious. The smaller the areas, the need at a very close distance to identify defects that can assist the customer quickly find their favorite items.

关 键 词：商品标签 购物导航 图形识别 区域特征 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]