PRNU-Net: a Deep Learning Approach for Source Camera Model Identification based on Videos Taken with Smartphone

Younes Akbari, Noor Almaadeed, Somaya Al-Maadeed, Fouad Khelifi, Ahmed Bouridane

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Recent advances in digital imaging have meant that every smartphone has a video camera that can record highquality video for free and without restrictions. In addition, rapidly developing Internet technology has contributed significantly to the widespread distribution of digital video via web-based multimedia systems and mobile applications such as YouTube, Facebook, Twitter, WhatsApp, etc. However, as the recording and distribution of digital video has become affordable nowadays, security issues have become threatening and have spread worldwide. One of the security issues is the identification of source cameras on videos. Generally, two common categories of methods are used in this area, namely Photo Response Non-Uniformity (PRNU) and Machine Learning approaches. To exploit the power of both approaches, this work adds a new PRNU-based layer to a convolutional neural network (CNN) called PRNU-Net. To explore the new layer, the main structure of the CNN is based on the MISLnet, which has been used in several studies to identify the source camera. The experimental results show that the PRNU-Net is more successful than the MISLnet and that the PRNU extracted by the layer from low features, namely edges or textures, is more useful than high and mid-level features, namely parts and objects, in classifying source camera models. On average, the network improves theresults in a new database by about 4%.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Pattern Recognition (ICPR) 2022
Place of PublicationPiscataway, NJ
Publication statusAccepted/In press - 17 May 2022
Event26th International Conference on Pattern Recognition - Palais des congrès de Montréal, Montréal, Canada
Duration: 21 Aug 202225 Aug 2022


Conference26th International Conference on Pattern Recognition
Abbreviated titleICPR
Internet address


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