Design of a book misplacement detection system based on image recognition

Qiyuan Shi; Fenglong Fan; Ying Li

doi:10.1117/12.3050429

24 October 2024 Design of a book misplacement detection system based on image recognition

Qiyuan Shi, Fenglong Fan, Ying Li

Author Affiliations +

Proceedings Volume 13396, Third International Conference on Image Processing, Object Detection, and Tracking (IPODT 2024); 133960A (2024) https://doi.org/10.1117/12.3050429
Event: 3rd International Conference on Image Processing, Object Detection and Tracking (IPODT24), 2024, Nanjing, China

Abstract

With increasing library visits, book misplacement has become a significant issue, affecting over 5% of books globally and burdening library staff. To address this, we developed a system using YOLOv8 with an enhanced CBAM (Convolutional Block Attention Module) for spine segmentation. The HSV (Hue, Saturation, Value) algorithm segments the book label area, and Optical Character Recognition (OCR) is used to extract call numbers. Book misplacement is detected using ASCII codes, and results are presented to library staff. Experimental results show that this approach significantly improves book spine recognition accuracy compared to traditional methods and better meets users' needs.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qiyuan Shi, Fenglong Fan, and Ying Li "Design of a book misplacement detection system based on image recognition", Proc. SPIE 13396, Third International Conference on Image Processing, Object Detection, and Tracking (IPODT 2024), 133960A (24 October 2024); https://doi.org/10.1117/12.3050429

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