增强边缘检测图像算法在多书识别中的应用

doi:10.13229/j.cnki.jdxbgxb20200933

摘要/Abstract

摘要：

随着图书的借阅量逐渐增加，国内图书馆基本都应用了自助借还系统，但在借还书过程中仍存在着许多异常的现象，如多书识别准确率不高、图书数目识别不准确等。针对上述问题，本文提出了一种基于增强边缘检测图像的多书识别算法。该算法使用2×2的卷积核与边缘检测图像做卷积，增强图像内的直线信息，通过检测图像内书籍边缘数量，并辅助检测书脊边缘来进行多书识别。其中，单书识别准确率达94.0%，多书识别准确率达92.9%，综合识别准确率为93.8%。该方法具有较高的实用性，可以用于完成多书识别任务。

关键词: 计算机应用技术, 边缘提取, 直线检测, 多书识别, 图像增强

Abstract:

With the gradual increase in the amount of books borrowed， domestic libraries have basically applied the self-help borrowing and returning system， but there are still many abnormal phenomena in the process of borrowing and returning books， such as the low accuracy of the identification of many books and the inaccurate identification of the number of books. In this paper， a multi-book recognition algorithm based on enhanced edge detection is proposed. This algorithm uses the convolution kernel of 2×2 to convolve with the edge detection image， so as to enhance the line information in the image， detect the number of book edges in the image， and assist the detection of the spine edge to carry out multi-book recognition. Among them， the accuracy of single book recognition is 94.0%， that of multi-book recognition is 92.9%， and that of comprehensive recognition is 93.8%. This method has high practicability and can be used to complete multi-book recognition task.

Key words: computer application technology, edge extraction, line detection, multi-book recognition, image enhancement

中图分类号:

TP183

刘铭,杨雨航,邹松霖,肖志成,张永刚. 增强边缘检测图像算法在多书识别中的应用[J]. 吉林大学学报(工学版), 2022, 52(4): 891-896.

Ming LIU,Yu-hang YANG,Song-lin ZOU,Zhi-cheng XIAO,Yong-gang ZHANG. Application of enhanced edge detection image algorithm in multi-book recognition[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(4): 891-896.

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