云计算下的图书馆条码分类与查询技术研究
2017-07-08宋惠兰
宋惠兰



摘 要: 图书馆中图书排列变动大,不利于进行图书档案信息管理,为了克服上述情况,设计云计算下的图书馆条码分类与查询系统,进行条码计算与管理、通信与图像采集。系统使用的条码分类技术通过对条码图像进行腐蚀、膨胀、重建实现粗分类,再通过开运算和开重建进行精分类,最后输出分类结果。条码查询技术以解码技术为基础,通过对条码图像上的扫描图形进行扫描和定位,获取条码扫描宽度,依照图书档案计算公式实现条码查询。测试结果表明,系统的分类与查询误差小,查询效率高,在复杂条件下也能实现条码的高效、准确查询。
关键词: 云计算; 图书馆; 条码; 分类查询
中图分类号: TN911?34 文献标识码: A 文章编号: 1004?373X(2017)13?0130?04
Abstract: The big variation of books arrangement in the library is bad for the management of book archive information. In order to overcome the above situation, the library barcode classification and query system under cloud computing was designed to perform the barcode calculation and management, communication, and image acquisition. The barcode classification technology is used in the system to realize the rough classification for the barcode image after corrosion, expansion and reconstruction, and perform the fine classification for the barcode image after open operation and reconstruction to output the classification results. The barcode query technology is based on the decoding technology to scan and locate the scanning pattern on the scanning image to acquire the scanning width of the barcode. The barcode is queried according to the computing formula of book archives. The test results show that the system classification and query errors are small, the query efficiency is high, and can query the barcode efficiently and accurately under complex conditions.
Keywords: cloud computing; library; barcode; classification query
0 引 言
條码技术[1]是在信息技术上兴盛起来的,它集合解编码、数据识别、数据采集与控制等技术,使用时不受时间与地点的约束,信息录入效率高、成本低、可靠性好,越来越多的领域受益于条码技术。条码技术发展至今,出现了一维条码和二维条码两种类别。一维条码的存储量小、显示效果不佳,已逐渐被淘汰。二维条码的功能具有多样性,使用更加广泛,但采集过程中容易出现噪声干扰,因此,对二维条码的深度研究具有十分重要的意义。
信息化时代的来临,使得图书馆图书档案的管理难度大幅度降低,将条码技术与图书档案结合起来,更是使档案索引效率得到明显提升。图书馆的客户流动性大,图书排列顺序每天都会发生大变动,利用条码技术管理图书档案的难点在于如何对条码进行准确分类和高效查询[2],为客户提供更好的服务。……
