[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-85323-en":3,"doc-seo-85323-105":29,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},85323,1099514068365,"Aurelia","https://ap-avatar.wpscdn.com/avatar/10000253d8d9f28188e?_k=1776742907772140068",8,"Research & Report","Video Transformer for Remote Identity Document Hologram Detection","Remote identity authentication via user-captured identification documents faces growing fraud risks due to DeepFakes and AI-enabled counterfeiting. The work targets widespread, smartphone-only capture followed by server-side verification, where infrared-dependent checks are impractical. It exploits holographic printing as a difficult-to-forge security feature observable in smartphone videos. The proposed Remote Identity Document Verification System (RIDVS) uses a video transformer with improved recall and accuracy versus prior baselines under limited dataset and compute budgets.","Video Transformer for Remote Identity Document Hologram Detection  \nJoris Voerman 1 , Nicolas Sidere 1 and Jean-Christophe Burie 1  \narXiv :2607 . 11419v1 [ cs .CV] 13 Jul 2026  \nAbstract—Remote identity authentification using Identification Documents has been a major challenge for several years. DeepFakes advent and the development of AI-guided tools helps fraudsters creating counterfeit ID Documents. Ensuring the authenticity of ID Documents has become a real clue in theseurization of remote authentification. This need is all the more pressing given the increasing digitization of administrative and transactional processes. To ensure widespread accessibility, the system should rely solely on video captured via mobile devices. In this specific context, confirming the authenticity of ID is areal challenge as many security features needs specific device like infrared sensor for instance. Among underutilized but promising security features, holographic printings hold a special place. Difficult to counterfeit, they produce distinctive visual effects according enlightment, making them both detectable in a video captured by a smartphone camera and difficult to imitate. In this paper, we propose a Remote Identity Document Verification System (RIDVS) and an approach based on a video transformer for detecting holograms in simple videos captured by smartphones. Our system is designed for a smartphonebased capture process, followed by a server-side verification.  \nThe hologram detection method builds on a robust model previously validated in a related research domain. We demonstrate that it outperforms existing SotA methods, achieving nearperfect accuracy even when trained on medium-to small-sized datasets. In particular, we report improvements of +26.86% in Recall and +17.93% in accuracy over the best MIDV-Holo baseline. This study includes several experiments that evaluate the model adaptation to frugality, both for training samples and computational resources.  \nI. INTRODUCTION  \nThis work is conducted within the framework of de  \nveloping advanced solutions for remote ID verification via smartphone applications, primarily for banking and insurance services. The demand for such solutions has grown considerably in recent years, a trend further accelerated by the COVID-19 crisis and its aftermath. Ensuring the authenticity of an ID in remote settings is crucial for preventing identity theft and other forms of fraud.  \nHowever, verifying ID documents through user-recorded videos presents substantial challenges. Many traditional security features, especially those designed to prevent counterfeiting, cannot be validated under such conditions, which increases the risk of fraud. Among the few usable features in this context, the hologram stands out. It is extremely difficult to forge without professional equipment and cannot be easily simulated, making it a key component in the fight against document fraud. Despite its potential, hologram detection remains underexplored in the document verification community. This is largely due to the technical challenges it  \n1All authors are from La Rochelle University, 17031 La Rochelle, France {joris .voerman,nicolas .sidere, [jean-christophe.burie](jean-christophe.burie}@univ-lr.fr)[}](jean-christophe.burie}@univ-lr.fr)[@univ-lr.fr](jean-christophe.burie}@univ-lr.fr)  \nentails, as reliable detection requires video analysis and 2D reconstruction.  \nThe situation is further complicated by the lack of available training data. IDs are highly sensitive and protected; therefore, collecting even a small dataset with just a few samples is difficult. To our knowledge, only one public dataset is currently available for research purposes, and it contains only mock documents that are not even directly inspired by any real country. Adding to the challenges posed by this context is the issue of limited computing resources. Ideally, solutions deployed in such environments must be both fast and cost-effective, while s","cbCaidnNW80dFOfO","https://ap.wps.com/l/cbCaidnNW80dFOfO","pdf",2166085,1,6,"English","en",105,"# Introduction\n# Remote Identity Document Verification System\n## Document Detection & Classification\n## Database and Security Element Verification\n## Decision Center","[{\"question\":\"What problem does RIDVS address in remote identity verification?\",\"answer\":\"It addresses the challenge of authenticating identification documents from smartphone-captured videos while reducing fraud enabled by DeepFakes and counterfeit IDs.\"},{\"question\":\"Why are holograms useful for smartphone-based ID checks?\",\"answer\":\"Holographic printing is difficult to counterfeit or simulate and produces distinctive visual effects under illumination, making it detectable directly in standard smartphone video.\"},{\"question\":\"How is the proposed system organized after video capture?\",\"answer\":\"The system uses document detection and classification, a database of templates, detector/verifier modules for security elements, and a decision center that coordinates processing, updates status, and can trigger retakes or new detection when verification fails.\"}]",1784202492,15,{"code":4,"msg":30,"data":31},"ok",{"site_id":24,"language":23,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":85,"head_meta":87,"extra_data":89,"updated_unix":27},"video-transformer-for-remote-identity-document-hologram-detection","",{"@graph":35,"@context":84},[36,53,67],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/video-transformer-for-remote-identity-document-hologram-detection/85323/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":61,"encodingFormat":60,"isAccessibleForFree":62,"interactionStatistic":63},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-16",true,{"@type":64,"interactionType":65,"userInteractionCount":4},"InteractionCounter",{"@type":66},"ViewAction",{"@type":68,"mainEntity":69},"FAQPage",[70,76,80],{"name":71,"@type":72,"acceptedAnswer":73},"What problem does RIDVS address in remote identity verification?","Question",{"text":74,"@type":75},"It addresses the challenge of authenticating identification documents from smartphone-captured videos while reducing fraud enabled by DeepFakes and counterfeit IDs.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"Why are holograms useful for smartphone-based ID checks?",{"text":79,"@type":75},"Holographic printing is difficult to counterfeit or simulate and produces distinctive visual effects under illumination, making it detectable directly in standard smartphone video.",{"name":81,"@type":72,"acceptedAnswer":82},"How is the proposed system organized after video capture?",{"text":83,"@type":75},"The system uses document detection and classification, a database of templates, detector/verifier modules for security elements, and a decision center that coordinates processing, updates status, and can trigger retakes or new detection when verification 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