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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 11

Adaptive threshold-based source camera identification algorithm in open-set scenario

Fan Xingzhena
Liu Yufeib
Tian Huaweia
Xiao Yanhuib
People's Public Security University of China a. School of Information & Network Security, b. School of National Security, Beijing 100038, China
DOI: 10.19734/j.issn.1001-3695.2025.03.0098

Abstract

Photo-Response Non-Uniformity (PRNU) noise serves as a distinctive stochastic fingerprint of image sensors for source camera identification. In open-set scenario, the existing identification methods employ a fixed threshold to compare the magnitude of Peak to Correlation Energy (PCE) , which are incapable of adapting to fluctuating changes of PCE caused by the complexity of image content, image size, and the number of images utilized for PRNU fingerprint extraction, resulting in misjudgment or missed detection. To address this issue, the paper proposed an adaptive threshold-based source camera identification algorithm in open-set scenario. Specifically, it designed the training model of adaptive threshold identification module, which could take the PRNU fingerprint, query image and the corresponding noise residual, PCE value as the supervised learning data. Proper training yielded the weight parameters of the module, and then it could set thresholds adaptively to accommodate PCE fluctuations and achieve more accurate identification. Multiple sets of comparison experiments with four source camera identification methods on Daxing smart phone dataset and Dresden camera dataset fully prove the effectiveness and universality of the proposed algorithm, which is more suitable for source camera identification tasks with different levels of complexity.

Foundation Support

公安部科技计划技术研究项目(2022JSYJC22)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.03.0098
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 11

Publish History

[2025-07-04] Accepted Paper

Cite This Article

范兴振, 刘宇飞, 田华伟, 等. 面向开放场景的自适应阈值源相机识别算法 [J]. 计算机应用研究, 2025, 42 (11). (2025-07-08). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0098. (Fan Xingzhen, Liu Yufei, Tian Huawei, et al. Adaptive threshold-based source camera identification algorithm in open-set scenario [J]. Application Research of Computers, 2025, 42 (11). (2025-07-08). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0098. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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