光学字符识别(OCR)图书元数据提取系统中的图像处理技术

Andi Emil Multazam, Akhmad Qashlim, M. Sarjan
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引用次数: 0

摘要

通过重新输入图书的身份(如作者姓名、书名、出版商和其他几个身份)来提取图书元数据,是Polewali Mandar地区图书馆反复执行的一项常规工作,该活动花费了大量时间,使用了几个工作人员,而且事实证明,该活动很有可能出现输入错误。图书元数据提取错误将导致图书库系统数据库出现错误,从而导致图书或图书数据信息的查找和使用困难。利用图像处理技术和OCR技术创建图书元数据提取系统可以解决这一问题。本研究旨在设计一种扫描技术来提取图书元数据。准确性分为2个阶段,第一阶段使用ROC方法对图像提取结果进行验证,第二阶段通过直接将图书元数据提取结果与实际图书进行匹配进行验证。研究结果表明,该系统的准确率为98.78%,平均检测时间为1.49秒,并成功将提取结果呈现在网站页面上。因此,采用OCR方法的元数据提取系统可以应用于图书馆图书数据的输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Processing Technology in Book Metadata Extraction System Using Optical Character Recognition (OCR)
Extracting book metadata by retyping the identity of the book, such as the author's name, book title, publisher, and several other identities, is a routine that is carried out repeatedly at the Polewali Mandar district library, this activity takes much of time, using several staff and it turns out that this activity has much potential for input errors. Errors in extracting book metadata will result in errors in the book repository system database, resulting in difficulty finding and using books or book data information. This problem can be solved by creating a book metadata extraction system using image processing technology and OCR. This study aims to design a scanner technology to extract book metadata. Accuracy is carried out in 2 stages, the first validation of image extraction results using the ROC method and the second validation by directly matching the result of extracting the book's metadata with the actual book. The results of this study indicate that the system has worked with an accuracy of 98.78% with an average detection time of 1.49 seconds and has succeeded in presenting the extraction results on the website page. Thus the metadata extraction system with the OCR method can be applied to libraries to input book data.
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