{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/docface-id-document-to-selfie-matching","title":"DocFace+: ID Document to Selfie Matching","arxiv_id":"1809.05620","date":"2018-09-15","proceeding":null,"authors":["Yichun Shi","Anil K. Jain"],"abstract":"Numerous activities in our daily life require us to verify who we are by\nshowing our ID documents containing face images, such as passports and driver\nlicenses, to human operators. However, this process is slow, labor intensive\nand unreliable. As such, an automated system for matching ID document photos to\nlive face images (selfies) in real time and with high accuracy is required. In\nthis paper, we propose DocFace+ to meet this objective. We first show that\ngradient-based optimization methods converge slowly (due to the underfitting of\nclassifier weights) when many classes have very few samples, a characteristic\nof existing ID-selfie datasets. To overcome this shortcoming, we propose a\nmethod, called dynamic weight imprinting (DWI), to update the classifier\nweights, which allows faster convergence and more generalizable\nrepresentations. Next, a pair of sibling networks with partially shared\nparameters are trained to learn a unified face representation with\ndomain-specific parameters. Cross-validation on an ID-selfie dataset shows that\nwhile a publicly available general face matcher (SphereFace) only achieves a\nTrue Accept Rate (TAR) of 59.29+-1.55% at a False Accept Rate (FAR) of 0.1% on\nthe problem, DocFace+ improves the TAR to 97.51+-0.40%.","url_abs":"http://arxiv.org/abs/1809.05620v2","url_pdf":"http://arxiv.org/pdf/1809.05620v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"docface-id-document-to-selfie-matching","repo_url":"https://github.com/seasonSH/DocFace","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"tar","task_name":"TAR"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}