首页> 外文会议>International Conference on Computer Science and Engineering >A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarında Yer Numaralarını Bulmakve Saymakiç in HaarSınıflandırıcı Tabanlıbir Yöntem
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A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarında Yer Numaralarını Bulmakve Saymakiç in HaarSınıflandırıcı Tabanlıbir Yöntem

机译:Haar中基于Haar分类器的电话号码检测和计数方法Haar基于Haar分类器的电话号码检测和计数方法

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Counting and organization of books in libraries is a routine and time-consuming task. The task gets more complicated by misplaced books in shelves. In order to solve these problems, we propose an automated visual call number (book-id) detection and counting system in this paper. The method employs a Haar feature-based classifier from OpenCV library and cloud-based OCR system to decode characters from images. To develop and test the method, we have acquired and organized a dataset of 1000 book call numbers. The proposed method has been tested on 20 bookshelves images that contain 233 call numbers, which resulted in a true detection rate of 96% and false detection rate of 1.75 per image. For OCR step, the number of false recognized characters per call number was 0.76.
机译:图书馆中图书的计数和组织是一项日常且费时的任务。书架上放错了书,使任务变得更加复杂。为了解决这些问题,我们提出了一种自动可视电话号码(book-id)检测和计数系统。该方法采用来自OpenCV库的基于Haar特征的分类器和基于云的OCR系统来解码图像中的字符。为了开发和测试该方法,我们已经获取并组织了一个包含1000个书号的数据集。该方法已在20个包含233个呼叫编号的书架图像上进行了测试,其真实检测率为96%,每幅图像的错误检测率为1.75。对于OCR步骤,每个呼叫号码错误识别的字符数为0.76。

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