Paper
8 April 2024 Research on anomaly detection technology of IoT mobile terminal based on watermark detection
Dawei Dai, Rui Liu, Yong Liu, Zheng Tian, Zhongwei Chen, Yizhen Sun
Author Affiliations +
Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130904A (2024) https://doi.org/10.1117/12.3025927
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China
Abstract
The watermark detection method under Android system combines the technology of computer vision, image processing and pattern matching, aiming to provide an effective and automatic watermark detection solution. Through image conversion of input files and pre-processing operations such as filtering, contrast enhancement and brightness adjustment, the watermark features of files in different formats are enhanced. Feature extraction algorithm is adopted to extract features such as the number and hierarchical relationship of image contouring from pre-processed images, and image features are further processed by fitting algorithm. Finally, it is compared and matched with the predefined watermark pattern library. By combining the image recognition algorithm with Android components, the system realizes the watermark detection function in Android applications.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Dawei Dai, Rui Liu, Yong Liu, Zheng Tian, Zhongwei Chen, and Yizhen Sun "Research on anomaly detection technology of IoT mobile terminal based on watermark detection", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130904A (8 April 2024); https://doi.org/10.1117/12.3025927
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KEYWORDS
Digital watermarking

Image enhancement

Edge detection

Image processing

Image encryption

Detection and tracking algorithms

Visualization

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